Triple

T12760876
Position Surface form Disambiguated ID Type / Status
Subject WVHA E304990 entity
Predicate shortName P43 FINISHED
Object WVHA E304990 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: WVHA | Statement: [WVHA, shortName, WVHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WVHA
Context triple: [WVHA, shortName, WVHA]
  • A. WVHA chosen
    WVHA was the SS Main Economic and Administrative Office of Nazi Germany, responsible for managing the SS’s economic enterprises, concentration camp administration, and logistical support.
  • B. WHA
    WHA is the commonly used abbreviation for the World Health Assembly, the decision-making body of the World Health Organization.
  • C. WHA
    WHA is the commonly used abbreviation for the U.S. Department of State’s Bureau of Western Hemisphere Affairs, which manages American diplomatic relations and policy in the Americas.
  • D. KFWA
    KFWA is the ICAO airport code for Fort Wayne International Airport, a public airport serving the Fort Wayne, Indiana area.
  • E. WAC
    WAC is a collegiate athletic conference in the United States that sponsors NCAA Division I sports across multiple member universities.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8e44188190840cd23d380bf23d completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9de82c81908373bbb978c18080 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:28 p.m.