Triple

T15329283
Position Surface form Disambiguated ID Type / Status
Subject Southern Idaho E366490 entity
Predicate hasMajorCity P316 FINISHED
Object Burley E754639 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: Burley | Statement: [Southern Idaho, hasMajorCity, Burley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burley
Context triple: [Southern Idaho, hasMajorCity, Burley]
  • A. Burley chosen
    Burley is a small agricultural and commercial city in south-central Idaho known for its farming, food processing, and location along the Snake River.
  • B. Burley
    Burley is a suburban area of Leeds in West Yorkshire, England, known for its residential neighborhoods and proximity to the city center.
  • C. Fernley
    Fernley is a small city in western Nevada known for its location along Interstate 80 and its role as a growing residential and logistics hub near Reno.
  • D. Riverton
    Riverton is a suburban city in the southern part of the Salt Lake Valley in Utah, known for its residential communities and family-oriented amenities.
  • E. Riverton
    Riverton is a small coastal town in New Zealand’s Southland region, known as one of the country’s oldest European settlements and for its fishing and surfing.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dffd6f88190a0f031ee90c6a7d2 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8b1b2d08190a158bf65535ad750 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.