Triple

T15244167
Position Surface form Disambiguated ID Type / Status
Subject Alta Municipality E364335 entity
Predicate administrativeCentre P1474 FINISHED
Object Alta E78263 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: Alta | Statement: [Alta Municipality, administrativeCentre, Alta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alta
Context triple: [Alta Municipality, administrativeCentre, Alta]
  • A. Alta
    Alta is a small mountain town in Utah best known for its world-class powder skiing at Alta Ski Area in the Wasatch Range.
  • B. Alta
    Alta is a feminine given name of Latin origin meaning "high" or "elevated," used in various cultures but particularly in English-speaking countries.
  • C. Alta chosen
    Alta is a town in northern Norway known for its Arctic location, winter sports, and proximity to the Northern Lights.
  • D. Escalante
    Escalante is a coastal city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • E. Aguls
    The Aguls are a small indigenous ethnic group of Dagestan in the North Caucasus, known for their distinct Northeast Caucasian language and traditional mountain village culture.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f306f08190be448b215d6c9b6c completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd461cf08190a506aac2f0cec83a completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:13 a.m.