Triple

T8504550
Position Surface form Disambiguated ID Type / Status
Subject Green Country E201300 entity
Predicate containsLake P1025 FINISHED
Object Oologah Lake E258533 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: Oologah Lake | Statement: [Green Country, containsLake, Oologah Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oologah Lake
Context triple: [Green Country, containsLake, Oologah Lake]
  • A. Oologah Lake chosen
    Oologah Lake is a large reservoir in northeastern Oklahoma known for recreation, flood control, and water supply.
  • B. Webb Lake
    Webb Lake is a scenic freshwater lake in western Maine known for outdoor recreation such as boating, fishing, and camping.
  • C. Findley Lake
    Findley Lake is a small hamlet and recreational lake in southwestern New York known for its lakeside tourism and proximity to the Pennsylvania border.
  • D. Lake Eufaula
    Lake Eufaula is a large reservoir on the Chattahoochee River along the Alabama–Georgia border, popular for fishing, boating, and other recreational activities.
  • E. Bois d'Arc Lake
    Bois d'Arc Lake is a recently constructed North Texas reservoir designed primarily for municipal water supply, flood control, and outdoor recreation.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe59d67d081908155a43b9b463fe3 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88e0e08c819085d29157349a6ef6 completed April 2, 2026, 3:18 p.m.
Created at: March 30, 2026, 6:14 p.m.