Triple
T2793378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Country |
E61978
|
entity |
| Predicate | contains |
P35
|
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, contains, Oologah Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oologah Lake Context triple: [Green Country, contains, Oologah Lake]
-
A.
Oologah Lake
chosen
Oologah Lake is a large reservoir in northeastern Oklahoma known for recreation, flood control, and water supply.
-
B.
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.
-
C.
Osceola Lake
Osceola Lake is a small hamlet within the Town of Yorktown in Westchester County, New York.
-
D.
Wilson Lake
Wilson Lake is a man-made reservoir in northern Alabama known for hydroelectric power generation, navigation, and recreational activities along the Tennessee River.
-
E.
Longview Lake
Longview Lake is a large recreational reservoir in the Kansas City metropolitan area known for boating, fishing, and surrounding park facilities.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd33610819085ac7c5bec0e6af0 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03127f0808190841fa2572baaf5a7 |
completed | March 10, 2026, 2:56 p.m. |
Created at: March 6, 2026, 9:58 p.m.