Triple

T10330059
Position Surface form Disambiguated ID Type / Status
Subject WFS E242850 entity
Predicate relatedStandard P37 FINISHED
Object WCS E641987 NE FINISHED

How this triple was built (2 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: WCS | Statement: [WFS, relatedStandard, WCS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WCS
Context triple: [WFS, relatedStandard, WCS]
  • A. WCS chosen
    WCS is the station code for West Coldspring station on the Baltimore Metro SubwayLink system.
  • B. WHC
    WHC is the commonly used abbreviation for UNESCO’s World Heritage Centre, the body responsible for coordinating the World Heritage Convention and managing the World Heritage List.
  • C. FWS
    FWS is a U.S. federal financial aid program that provides part-time jobs to eligible college students to help them pay for educational expenses.
  • D. WTS
    WTS is a Reformed Christian seminary in Holland, Michigan, known for training pastors and church leaders within the Reformed Church in America and broader evangelical traditions.
  • E. WTS
    WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fb77348190ac8ff887f6f03450 completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71dbc7df48190b8a11a92f946fd30 completed April 9, 2026, 3:32 a.m.
Created at: April 6, 2026, 11:52 a.m.