Triple

T14930422
Position Surface form Disambiguated ID Type / Status
Subject Cumberland County E372247 entity
Predicate containsSettlement P847 FINISHED
Object Amherst E606734 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: Amherst | Statement: [Cumberland County, containsSettlement, Amherst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amherst
Context triple: [Cumberland County, containsSettlement, Amherst]
  • A. Amherst chosen
    Amherst is a town in northwestern Nova Scotia, Canada, known historically as a regional industrial and transportation hub.
  • B. Amherst
    Amherst is a small unincorporated community located within Sedgwick County in the U.S. state of Kansas.
  • C. Amherst
    Amherst is an English surname historically associated with the British aristocratic Amherst family, including military commander Jeffery Amherst, 1st Baron Amherst.
  • D. Amherst, Massachusetts
    Amherst, Massachusetts is a New England college town best known as the home of the University of Massachusetts Amherst and Amherst College.
  • E. Amherst, New Hampshire
    Amherst, New Hampshire is a historic small town in southern New Hampshire known for its classic New England village green, preserved colonial architecture, 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c728948190a1cfc62f4038b6ec completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:36 a.m.