Triple
T13127074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeastern Oklahoma |
E311870
|
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: [Northeastern Oklahoma, containsLake, Oologah Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oologah Lake Context triple: [Northeastern Oklahoma, 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.
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.
Thunder Lake
Thunder Lake is a nearby lake associated with the Dryden area, known as a local natural water body used for recreation and outdoor activities.
-
E.
Cherokee Lake
Cherokee Lake is a large reservoir in eastern Tennessee popular for boating, fishing, and lakeside 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819aac388190b59bf43cc6a49d0c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8c0b24c819082d0ec947b7d99ea |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:07 p.m.