Triple

T12585246
Position Surface form Disambiguated ID Type / Status
Subject Hagerman E300438 entity
Predicate governingBody P46 FINISHED
Object Hagerman town government E885444 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: Hagerman town government | Statement: [Hagerman, governingBody, Hagerman town government]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagerman town government
Context triple: [Hagerman, governingBody, Hagerman town government]
  • A. Hagerman
    Hagerman is a Spanish-language surname borne by individuals such as María Eladia Hagerman and associated with families of Hispanic heritage.
  • B. Hagerman
    Hagerman is a small town in southeastern New Mexico, known for its agricultural community and location along the Pecos River.
  • C. Hagerman, New Mexico chosen
    Hagerman, New Mexico is a small town in southeastern New Mexico known for its agricultural surroundings and location within Chaves County near the Pecos River.
  • D. Hagerman, Idaho
    Hagerman, Idaho is a small city in south-central Idaho known for its fossil beds, scenic Snake River canyon, and rich agricultural and aquaculture industries.
  • E. Hannan city government
    Hannan city government is the municipal administrative authority responsible for governing and providing public services in Hannan, Japan.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bac9708190ad8f277e7751bf5c completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebcfca8819083c26a3d5f94ccdf completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:04 p.m.