Triple

T8937138
Position Surface form Disambiguated ID Type / Status
Subject St. Paul’s School E212803 entity
Predicate city P40 FINISHED
Object Concord E405416 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: Concord | Statement: [St. Paul’s School, city, Concord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concord
Context triple: [St. Paul’s School, city, Concord]
  • A. Concord
    Concord is a suburban neighbourhood within the city of Vaughan in Ontario, Canada, known for its mix of industrial, commercial, and residential areas.
  • B. Concord
    Concord is a historic New England town in eastern Massachusetts known for its pivotal role in the American Revolutionary War and its association with prominent 19th-century literary figures.
  • C. Concord chosen
    Concord is the capital city of the U.S. state of New Hampshire, known for its historic role in American politics and its location along the Merrimack River.
  • D. Concord
    Concord is a prominent American independent music company and record label group known for its extensive catalog spanning jazz, rock, pop, and theatrical soundtracks.
  • E. Concord
    Concord is a suburban city in California’s East Bay region known as a residential and commercial hub within the greater San Francisco Bay Area.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b3628881909544507628980c25 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd099b2f48190b81d6747bad4b992 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 6:58 p.m.