Triple

T8584006
Position Surface form Disambiguated ID Type / Status
Subject Orton Longueville E203255 entity
Predicate postTown P2711 FINISHED
Object PETERBOROUGH E49266 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: PETERBOROUGH | Statement: [Orton Longueville, postTown, PETERBOROUGH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PETERBOROUGH
Context triple: [Orton Longueville, postTown, PETERBOROUGH]
  • A. Peterborough chosen
    Peterborough is a cathedral city in eastern England known for its historic Norman cathedral and role as a regional commercial and transport hub.
  • B. North Peterborough
    North Peterborough is a small village within the town of Peterborough in Hillsborough County, New Hampshire, known for its rural New England character.
  • C. Peterborough, New Hampshire
    Peterborough, New Hampshire is a small New England town known for its historic charm, cultural institutions like the MacDowell artist residency, and its role as a model for the fictional town in "Our Town" by Thornton Wilder.
  • D. Haverhill
    Haverhill is a historic city in northeastern Massachusetts that functions as a suburban community within the Greater Boston metropolitan area.
  • E. Haverhill
    Haverhill is a market town in Suffolk, England, known for its growing population, light industry, and role as a commuter hub for nearby larger cities.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1ecc188190bbe2ab8d2423505b completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89bfb95c81909660460d5813fdaf completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:22 p.m.