Triple
T5402185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denison |
E120802
|
entity |
| Predicate | hasNearbyWaterBody |
P1489
|
FINISHED |
| Object | Lake Texoma |
E28978
|
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: Lake Texoma | Statement: [Denison, hasNearbyWaterBody, Lake Texoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Texoma Context triple: [Denison, hasNearbyWaterBody, Lake Texoma]
-
A.
Lake Texoma
chosen
Lake Texoma is a large, popular reservoir on the Texas–Oklahoma border known for boating, fishing, and recreational tourism.
-
B.
Lake Quitman
Lake Quitman is a small freshwater reservoir in Wood County, Texas, known primarily for fishing and outdoor recreation.
-
C.
Lake Brazos
Lake Brazos is a man-made reservoir and recreational lake located along the Brazos River in Waco, Texas.
-
D.
Ray Roberts Lake
Ray Roberts Lake is a large reservoir in North Texas popular for fishing, boating, and outdoor recreation within Ray Roberts Lake State Park.
-
E.
Lake Meredith
Lake Meredith is a reservoir in southeastern Colorado known for recreation such as boating, fishing, and camping in a semi-arid plains setting.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87731c1c81909a4dc865282bd289 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3388c10481908235da34ef509d37 |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.