Triple

T13381698
Position Surface form Disambiguated ID Type / Status
Subject Duston E319332 entity
Predicate hasPostTown P2711 FINISHED
Object NORTHAMPTON E1036849 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: NORTHAMPTON | Statement: [Duston, hasPostTown, NORTHAMPTON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NORTHAMPTON
Context triple: [Duston, hasPostTown, NORTHAMPTON]
  • A. NORTHAMPTON chosen
    Northampton is a large market town and the county town of Northamptonshire in the East Midlands of England, known historically for its shoe-making industry.
  • B. Northampton, Massachusetts
    Northampton, Massachusetts is a small New England city known for its vibrant arts scene, progressive politics, and home to Smith College.
  • C. Andover
    Andover is a town in Hampshire, England, known in part for its role as a major administrative and logistical center for the British Army.
  • D. Andover
    Andover is a town in northeastern Massachusetts known for its historic New England character, strong public schools, and institutions like Phillips Academy.
  • E. Andover
    Andover is a small rural town in northeastern Connecticut known for its lakes, forests, and residential character.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce694788190881d1feac5b75720 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306c18d481908ebc8f802e474479 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:33 p.m.