Triple

T381003
Position Surface form Disambiguated ID Type / Status
Subject GNU Pascal E8677 entity
Predicate writtenIn P12727 FINISHED
Object C E9269 NE FINISHED

How this triple was built (3 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: C | Statement: [GNU Pascal, writtenIn, C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C
Context triple: [GNU Pascal, writtenIn, C]
  • A. C chosen
    C is a foundational, general-purpose programming language known for its efficiency, low-level memory access, and influence on many later languages such as C++, Java, and Python.
  • B. Terminal C
    Terminal C is one of the main passenger terminals at Luis Muñoz Marín International Airport in Puerto Rico, serving commercial airline operations and traveler services.
  • C. Terminal C
    Terminal C is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving as a hub for various international and domestic flights.
  • D. C++
    C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
  • E. .cl
    .cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writtenIn
Context triple: [GNU Pascal, writtenIn, C]
  • A. areWrittenOn
    Indicates that one entity serves as a surface or medium on which another entity is inscribed, recorded, or written.
  • B. wrote
    Indicates that an entity is the author or creator of a written work involving another entity.
  • C. writtenDuring
    Indicates that the creation or authorship of something took place within a specified time period or historical event.
  • D. originallyWrittenFor
    Indicates that a work was initially created or composed with a particular recipient, medium, context, or purpose in mind.
  • E. writtenForm
    Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2c95088190a603bb1ee076ebd6 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3faffa5848190b77503516f3d0ba6 completed March 1, 2026, 8:38 a.m.
PD Predicate disambiguation batch_69a2e964d4b481909290e474b0341e3c completed Feb. 28, 2026, 1:11 p.m.
PDg Predicate description generation batch_69a2eae0bd7081908197bbf5c55fe647 completed Feb. 28, 2026, 1:17 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.