Triple

T19917871
Position Surface form Disambiguated ID Type / Status
Subject Lake City Medical Center E478711 entity
Predicate city P40 FINISHED
Object Lake City — NE NERFINISHED

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 City | Statement: [Lake City Medical Center, city, Lake City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lake City
Context triple: [Lake City Medical Center, city, Lake City]
  • A. Lake City
    Lake City is the former name of Rocky Top, a small town in Anderson and Campbell counties in northeastern Tennessee.
  • B. 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.
  • C. Lake City chosen
    Lake City is a small city in northern Florida known as a regional hub for healthcare, commerce, and outdoor recreation near numerous lakes and natural springs.
  • D. Lake City
    Lake City is a small historic mountain town in Colorado known for its scenic alpine setting, outdoor recreation, and preserved 19th-century character.
  • E. Lake City
    Lake City is a residential and commercial neighborhood in northeast Seattle, Washington, known for its busy arterial corridor, diverse community, and mix of older homes, apartments, and local businesses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65995bd60819097cfad003dd29731 completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.