Triple

T8095922
Position Surface form Disambiguated ID Type / Status
Subject Alta, Utah E188984 entity
Predicate governingBody P46 FINISHED
Object Town of Alta government E188984 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: Town of Alta government | Statement: [Alta, Utah, governingBody, Town of Alta government]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Alta government
Context triple: [Alta, Utah, governingBody, Town of Alta government]
  • A. Alturas, California
    Alturas, California is a small rural city in Modoc County that serves as a regional hub in the remote northeastern corner of the state.
  • B. Toa Alta
    Toa Alta is a municipality in northern Puerto Rico known for its suburban communities and integration into the greater San Juan metropolitan region.
  • C. Alta Dena Ranch
    Alta Dena Ranch was a historic ranch in Southern California whose name inspired the nearby community of Altadena.
  • D. Alta chosen
    Alta is a small mountain town in Utah best known for its world-class powder skiing at Alta Ski Area in the Wasatch Range.
  • E. Alta
    Alta is a town in northern Norway known for its Arctic location, winter sports, and proximity to the Northern Lights.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4291f1d4819098985ac2b20b6c75 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6414ca048190ac0e644b2c399bfb completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:30 p.m.