Triple

T10496089
Position Surface form Disambiguated ID Type / Status
Subject Oologah, Oklahoma E247539 entity
Predicate hasLake 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: [Oologah, Oklahoma, hasLake, Oologah Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oologah Lake
Context triple: [Oologah, Oklahoma, hasLake, Oologah Lake]
  • A. Oologah Lake chosen
    Oologah Lake is a large reservoir in northeastern Oklahoma known for recreation, flood control, and water supply.
  • B. Okmulgee Lake
    Okmulgee Lake is a reservoir and recreational lake near Okmulgee, Oklahoma, popular for fishing, boating, and outdoor activities.
  • C. Webb Lake
    Webb Lake is a scenic freshwater lake in western Maine known for outdoor recreation such as boating, fishing, and camping.
  • D. 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.
  • E. 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.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098cd82c8190b44127a66c9c75ae completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69e154529dd08190abbfc8d8281a642f completed April 16, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:24 p.m.