Triple

T17521329
Position Surface form Disambiguated ID Type / Status
Subject Forth E426683 entity
Predicate notableImplementation P102 FINISHED
Object F-PC
F-PC is a notable implementation of the Forth programming language designed for use on personal computers.
E1274368 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: F-PC | Statement: [Forth, notableImplementation, F-PC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F-PC
Context triple: [Forth, notableImplementation, F-PC]
  • A. FPC
    FPC is the abbreviated name of the Federal Passenger Company, a major Russian railway operator specializing in long-distance and suburban passenger transport.
  • B. FPC
    FPC is the common abbreviation for the Farah Palmer Cup, New Zealand’s premier women’s provincial rugby union competition.
  • C. FPCL
    FPCL is the state-owned company responsible for managing and operating major seaports in Fiji.
  • D. PFC
    PFC is the commonly used abbreviation for Portadown Football Club, a Northern Irish professional football team.
  • E. PFC
    PFC is the common abbreviation for Paris FC, a professional football club based in Paris, France.
  • 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: F-PC
Triple: [Forth, notableImplementation, F-PC]
Generated description
F-PC is a notable implementation of the Forth programming language designed for use on personal computers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: F-PC
Target entity description: F-PC is a notable implementation of the Forth programming language designed for use on personal computers.
  • A. FPC
    FPC is the abbreviated name of the Federal Passenger Company, a major Russian railway operator specializing in long-distance and suburban passenger transport.
  • B. FPC
    FPC is the common abbreviation for the Farah Palmer Cup, New Zealand’s premier women’s provincial rugby union competition.
  • C. FPCL
    FPCL is the state-owned company responsible for managing and operating major seaports in Fiji.
  • D. PFC
    PFC is the commonly used abbreviation for Portadown Football Club, a Northern Irish professional football team.
  • E. PFC
    PFC is the common abbreviation for Paris FC, a professional football club based in Paris, France.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d2f79881909556894728e255ab completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c94237d08190bb1f874735c87803 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cabea2b48190a690b17a88d45b40 completed May 11, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a01cefa08f8819086cb86ce22193baa completed May 11, 2026, 12:43 p.m.
Created at: April 10, 2026, 5:49 a.m.