Triple

T3746435
Position Surface form Disambiguated ID Type / Status
Subject Strikemaster E81221 entity
Predicate manufacturer P490 FINISHED
Object BAC
BAC (British Aircraft Corporation) was a major British aerospace manufacturer known for producing military and civil aircraft, including jets like the Strikemaster and its role in the development of the Concorde.
E384375 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: BAC | Statement: [Strikemaster, manufacturer, BAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BAC
Context triple: [Strikemaster, manufacturer, BAC]
  • A. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • B. BAF
    BAF is the service number prefix used to identify personnel of the Belgian Air Component (Belgian Air Force).
  • C. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • D. BA
    BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
  • E. BA
    BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • 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: BAC
Triple: [Strikemaster, manufacturer, BAC]
Generated description
BAC (British Aircraft Corporation) was a major British aerospace manufacturer known for producing military and civil aircraft, including jets like the Strikemaster and its role in the development of the Concorde.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BAC
Target entity description: BAC (British Aircraft Corporation) was a major British aerospace manufacturer known for producing military and civil aircraft, including jets like the Strikemaster and its role in the development of the Concorde.
  • A. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • B. BAF
    BAF is the service number prefix used to identify personnel of the Belgian Air Component (Belgian Air Force).
  • C. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • D. BA
    BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • E. BA
    BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb69887c8190a3f1188ec85727b0 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db2c2c5081909b83d89c989a8d1c completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4dbd0b6e88190a857afe3c1041788 completed March 14, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc5114ec8190aee92e21a48ae268 completed March 14, 2026, 3:56 a.m.
Created at: March 8, 2026, 3:35 p.m.