Triple

T1160394
Position Surface form Disambiguated ID Type / Status
Subject ReasonML E24477 entity
Predicate ecosystemIncludes P1888 FINISHED
Object ReasonReact
ReasonReact is a React wrapper and bindings library designed for building type-safe, React-based user interfaces in the ReasonML/OCaml ecosystem.
E131764 NE FINISHED

How this triple was built (4 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: ReasonReact | Statement: [ReasonML, ecosystemIncludes, ReasonReact]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ReasonReact
Context triple: [ReasonML, ecosystemIncludes, ReasonReact]
  • A. Ren
    Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
  • B. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • C. RE
    RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
  • D. R Reactor
    R Reactor was one of the plutonium and tritium production nuclear reactors that operated at the U.S. Department of Energy’s Savannah River Site during the Cold War.
  • E. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • 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: ReasonReact
Triple: [ReasonML, ecosystemIncludes, ReasonReact]
Generated description
ReasonReact is a React wrapper and bindings library designed for building type-safe, React-based user interfaces in the ReasonML/OCaml ecosystem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ReasonReact
Target entity description: ReasonReact is a React wrapper and bindings library designed for building type-safe, React-based user interfaces in the ReasonML/OCaml ecosystem.
  • A. Ren
    Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
  • B. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • C. RE
    RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
  • D. R Reactor
    R Reactor was one of the plutonium and tritium production nuclear reactors that operated at the U.S. Department of Energy’s Savannah River Site during the Cold War.
  • E. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • F. None of above. chosen

Provenance (5 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_69a4bf13ab648190931dea78202096e4 completed March 1, 2026, 10:34 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.
Created at: March 1, 2026, 7:45 p.m.