Triple

T8322893
Position Surface form Disambiguated ID Type / Status
Subject Radstock E194876 entity
Predicate postcodeArea P920 FINISHED
Object BA
BA is the postcode area in southwest England that includes the town of Radstock and surrounding parts of Somerset and Wiltshire.
E674624 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: BA | Statement: [Radstock, postcodeArea, BA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BA
Context triple: [Radstock, postcodeArea, BA]
  • A. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • B. BA
    BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • C. BA
    BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
  • D. BA
    BA is the commonly used abbreviation for the British Academy, the United Kingdom’s national academy for the humanities and social sciences.
  • E. BA
    BA is the IATA code for British Airways, the United Kingdom’s flag carrier and one of the world’s largest international airlines.
  • 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: BA
Triple: [Radstock, postcodeArea, BA]
Generated description
BA is the postcode area in southwest England that includes the town of Radstock and surrounding parts of Somerset and Wiltshire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BA
Target entity description: BA is the postcode area in southwest England that includes the town of Radstock and surrounding parts of Somerset and Wiltshire.
  • A. BA chosen
    BA is a postcode area in southwest England that covers parts of Somerset, including towns such as Bath and Bruton.
  • B. BA
    BA is the vehicle registration code used on license plates for the city and district of Bamberg in Upper Franconia, Germany.
  • C. BA
    BA is the commonly used abbreviation for the British Academy, the United Kingdom’s national academy for the humanities and social sciences.
  • 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 commonly used abbreviation for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
  • F. None of above.

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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f693ad08190ad4ce6269a61eb3f completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95a8f18c819090f8e47061df1f55 completed April 1, 2026, 10:01 p.m.
NEDg Description generation batch_69cdb20e46b881908d3c6b177e206e50 completed April 2, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69cdb654a2348190a41a6aebf96d8ea6 completed April 2, 2026, 12:20 a.m.
Created at: March 30, 2026, 5:56 p.m.