Triple

T9813078
Position Surface form Disambiguated ID Type / Status
Subject Yellowstone Lake E238324 entity
Predicate nearestSettlement P3883 FINISHED
Object Lake Village E697905 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: Lake Village | Statement: [Yellowstone Lake, nearestSettlement, Lake Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Village
Context triple: [Yellowstone Lake, nearestSettlement, Lake Village]
  • A. Lake Village chosen
    Lake Village is a developed area in Yellowstone National Park that serves as a visitor hub with lodging, services, and access to Yellowstone Lake.
  • B. Lovington
    Lovington is a small city in southeastern New Mexico that serves as the administrative and economic center of Lea County.
  • C. Kentville
    Kentville is a small town in Nova Scotia, Canada, known as a commercial and service hub for the surrounding agricultural Annapolis Valley region.
  • D. Parlington
    Parlington is a historic rural area and former estate in West Yorkshire, England, known for its parkland, architectural remnants, and association with the Gascoigne family.
  • E. Lake City
    Lake City is a nickname for Lake Charles, a city in southwestern Louisiana known for its petrochemical industry, casinos, and proximity to the Gulf Coast.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb22410208190b82b81a4df800f80 completed April 2, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc63c450819091e57030a48e7d88 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:30 p.m.