Triple

T16954556
Position Surface form Disambiguated ID Type / Status
Subject Boston Redevelopment Authority E411262 entity
Predicate alsoKnownAs P39 FINISHED
Object BRA
BRA is the commonly used acronym for the Boston Redevelopment Authority, the urban planning and economic development agency for the city of Boston.
 E1243098 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: BRA | Statement: [Boston Redevelopment Authority, alsoKnownAs, BRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRA
Context triple: [Boston Redevelopment Authority, alsoKnownAs, BRA]
  • A. BRA
    BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
  • B. BR
    BR is the IATA airline designator for EVA Air, a major Taiwanese international carrier based in Taoyuan.
  • C. BR
    BR is a postcode area in southeast London and parts of northwest Kent, covering towns such as Bromley and Beckenham.
  • D. BR
    BR is the official station code used to identify Burlington GO Station in Ontario, Canada.
  • E. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • 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: BRA
Triple: [Boston Redevelopment Authority, alsoKnownAs, BRA]
Generated description
BRA is the commonly used acronym for the Boston Redevelopment Authority, the urban planning and economic development agency for the city of Boston.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRA
Target entity description: BRA is the commonly used acronym for the Boston Redevelopment Authority, the urban planning and economic development agency for the city of Boston.
  • A. BRA
    BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
  • B. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • C. BR
    BR is the commonly used abbreviation for Banco de la República, Colombia’s central bank responsible for monetary policy and currency issuance.
  • D. BR
    BR is the official station code used to identify Burlington GO Station in Ontario, Canada.
  • E. BR
    BR is the vehicle registration code used to identify motor vehicles registered in Ladania.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01b04e88190a72735541b3bb117 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d464762c8190a734ffdd83633f70 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d53422408190ba91624194333c13 completed May 10, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_6a00d5adee908190a13bfc765e7c8f06 completed May 10, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:31 a.m.