Triple

T3882383
Position Surface form Disambiguated ID Type / Status
Subject European route E6 E92854 entity
Predicate passesThrough P225 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: [European route E6, passesThrough, Alta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alta
Context triple: [European route E6, passesThrough, 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 chosen
    Alta is a town in northern Norway known for its Arctic location, winter sports, and proximity to the Northern Lights.
  • C. Escalante
    Escalante is a coastal city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • D. Modoc
    The Modoc are a Native American people traditionally from the area around the California–Oregon border, known for their resistance during the 19th-century Modoc War.
  • E. Arrah
    Arrah is a historic town in the Indian state of Bihar, known for its role as a key site of conflict during the Indian Rebellion of 1857.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8e8b3481909617ca0e37f8a6d4 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512594fa081909ba2afad11f6ea59 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.