Triple

T8757366
Position Surface form Disambiguated ID Type / Status
Subject Magic Valley E208103 entity
Predicate hasCounty P285 FINISHED
Object Gooding County E761705 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: Gooding County | Statement: [Magic Valley, hasCounty, Gooding County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gooding County
Context triple: [Magic Valley, hasCounty, Gooding County]
  • A. Gooding County chosen
    Gooding County is a rural county in Idaho known for its agricultural economy, small communities, and location along the Snake River Plain.
  • B. Toombs County
    Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
  • C. Gilchrist County
    Gilchrist County is a rural county in northern Florida known for its small-town communities and natural springs along the Suwannee and Santa Fe rivers.
  • D. Bailey County
    Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
  • E. Jones County
    Jones County is a rural county in the U.S. state of Texas, known for its agricultural economy and small communities near the Abilene region.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ddabdc88190ba50ef1833a815d0 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa033e1b4819083521484f46078a1 completed April 3, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:40 p.m.