Triple

T1450335
Position Surface form Disambiguated ID Type / Status
Subject Ashfield, Massachusetts E31275 entity
Predicate hasIncorporationStatus P2250 FINISHED
Object incorporated town LITERAL 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: incorporated town | Statement: [Ashfield, Massachusetts, hasIncorporationStatus, incorporated town]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIncorporationStatus
Context triple: [Ashfield, Massachusetts, hasIncorporationStatus, incorporated town]
  • A. isIncorporatedPlace
    Indicates that a location is a legally established, self-governing municipal entity (such as a city, town, or village) recognized as an incorporated place.
  • B. incorporatedAs
    Indicates that an organization has been legally formed and registered under a specific corporate structure or name.
  • C. incorporatedThrough
    Indicates that one entity was formed, established, or legally created by means of another specified process, mechanism, or intermediary entity.
  • D. notIncorporatedAs
    Indicates that an entity has not been legally formed, registered, or recognized as a corporation or similar incorporated organization.
  • E. hasLegalStatus chosen
    Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
  • F. None of above.

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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55d923c8190957756f834f94462 completed March 1, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69a4c47cdbd0819092022344a2f4ad7b completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.