Triple

T716346
Position Surface form Disambiguated ID Type / Status
Subject Haverhill Line E14322 entity
Predicate terminus P388 FINISHED
Object Haverhill E21631 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: Haverhill | Statement: [Haverhill Line, terminus, Haverhill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haverhill
Context triple: [Haverhill Line, terminus, Haverhill]
  • A. Haverhill chosen
    Haverhill is a historic city in northeastern Massachusetts that functions as a suburban community within the Greater Boston metropolitan area.
  • B. Ipswich
    Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
  • C. Chelmsford
    Chelmsford is a historic cathedral city in Essex, England, known as a major commercial and administrative center and for being one of the UK's newest cities, granted status in 2012.
  • D. Swampscott
    Swampscott is a coastal town in northeastern Massachusetts known for its residential character and seaside location north of Boston.
  • E. 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.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a57649dc8190bfdee2f9c0c90415 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae51462e64819090dc5a0f200ee7a0 completed March 9, 2026, 4:49 a.m.
Created at: March 1, 2026, 7:37 p.m.