Triple

T1160393
Position Surface form Disambiguated ID Type / Status
Subject ReasonML E24477 entity
Predicate ecosystemIncludes P1888 FINISHED
Object bs-platform
bs-platform is the BuckleScript-based build toolchain and compiler that enables ReasonML and OCaml code to be compiled efficiently to JavaScript for use in web and Node.js projects.
E131763 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: bs-platform | Statement: [ReasonML, ecosystemIncludes, bs-platform]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bs-platform
Context triple: [ReasonML, ecosystemIncludes, bs-platform]
  • A. Platform 1
    Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
  • B. BSP
    BSP is an acronym used by the International Air Transport Association (IATA) for its Billing and Settlement Plan, a system that streamlines financial transactions between travel agents and airlines.
  • C. BSP
    BSP is the Bangko Sentral ng Pilipinas, the central bank of the Philippines responsible for monetary policy, financial stability, and currency issuance.
  • D. Platform 6
    Platform 6 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
  • E. Platform
    Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: bs-platform
Triple: [ReasonML, ecosystemIncludes, bs-platform]
Generated description
bs-platform is the BuckleScript-based build toolchain and compiler that enables ReasonML and OCaml code to be compiled efficiently to JavaScript for use in web and Node.js projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: bs-platform
Target entity description: bs-platform is the BuckleScript-based build toolchain and compiler that enables ReasonML and OCaml code to be compiled efficiently to JavaScript for use in web and Node.js projects.
  • A. Platform 1
    Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
  • B. BSP
    BSP is an acronym used by the International Air Transport Association (IATA) for its Billing and Settlement Plan, a system that streamlines financial transactions between travel agents and airlines.
  • C. BSP
    BSP is the Bangko Sentral ng Pilipinas, the central bank of the Philippines responsible for monetary policy, financial stability, and currency issuance.
  • D. Platform 6
    Platform 6 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
  • E. Platform
    Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ecosystemIncludes
Context triple: [ReasonML, ecosystemIncludes, bs-platform]
  • A. containsEcosystem chosen
    Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
  • B. partOfEcosystem
    Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
  • C. ecoregionsInclude
    Indicates that one ecoregion spatially contains or encompasses another ecoregion or area within its boundaries.
  • D. hasEcosystemService
    Indicates that one entity provides, supports, or is associated with an ecosystem service that benefits another entity or the environment.
  • E. hasBiosphere
    Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcaf3a9081908bad2eba74dffbc1 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ebbf80881909010e1e1e59212d4 completed March 7, 2026, 5:22 p.m.
NEDg Description generation batch_69ac5f77286c81908267706202ab032f completed March 7, 2026, 5:25 p.m.
NED2 Entity disambiguation (via description) batch_69ac5fe000bc81909c1131b8c1f1db6b completed March 7, 2026, 5:26 p.m.
PD Predicate disambiguation batch_69a4bb525b648190adcb7a29256d3c41 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:45 p.m.