Triple

T12133900
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Legislative Affairs (U.S. Department of State) E289002 entity
Predicate alsoKnownAs P39 FINISHED
Object H Bureau
H Bureau is the U.S. Department of State’s Bureau of Legislative Affairs, responsible for managing the Department’s relationship and communications with Congress.
 E964012 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: H Bureau | Statement: [Bureau of Legislative Affairs (U.S. Department of State), alsoKnownAs, H Bureau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: H Bureau
Context triple: [Bureau of Legislative Affairs (U.S. Department of State), alsoKnownAs, H Bureau]
  • A. H&BR
    H&BR is the abbreviation for the Hull and Barnsley Railway, a former British railway company that operated in Yorkshire, England.
  • B. La H
    La H is the popular nickname for the Honduras national football team, representing the country in international soccer competitions.
  • C. Helvering
    Helvering is a surname most notably associated with Guy T. Helvering, a prominent American politician and former Commissioner of Internal Revenue.
  • D. HBN
    HBN is the National Rail station code assigned to Holborn station in London.
  • E. Hub
    Hub is an industrial and commercial city in southern Pakistan, located near Karachi in the province of Balochistan.
  • 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: H Bureau
Triple: [Bureau of Legislative Affairs (U.S. Department of State), alsoKnownAs, H Bureau]
Generated description
H Bureau is the U.S. Department of State’s Bureau of Legislative Affairs, responsible for managing the Department’s relationship and communications with Congress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: H Bureau
Target entity description: H Bureau is the U.S. Department of State’s Bureau of Legislative Affairs, responsible for managing the Department’s relationship and communications with Congress.
  • A. H&BR
    H&BR is the abbreviation for the Hull and Barnsley Railway, a former British railway company that operated in Yorkshire, England.
  • B. La H
    La H is the popular nickname for the Honduras national football team, representing the country in international soccer competitions.
  • C. Helvering
    Helvering is a surname most notably associated with Guy T. Helvering, a prominent American politician and former Commissioner of Internal Revenue.
  • D. HBN
    HBN is the National Rail station code assigned to Holborn station in London.
  • E. Hub
    Hub is an industrial and commercial city in southern Pakistan, located near Karachi in the province of Balochistan.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158c59e0819094d4522a107482b2 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68c8ee081908a0331805f62cb0d completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fed2d57881908103ce89a365cdd4 completed May 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69f600bcaf288190b6204f985d3be638 completed May 2, 2026, 1:48 p.m.
Created at: April 8, 2026, 9:49 p.m.