Triple
T1147665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grayson County, Texas |
E23602
|
entity |
| Predicate | contains |
P35
|
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: [Grayson County, Texas, contains, Lake Texoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Texoma Context triple: [Grayson County, Texas, contains, 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.
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.
-
C.
White Rock Lake
White Rock Lake is a large urban reservoir and popular recreational area in east Dallas, Texas, known for its scenic trails, wildlife, and views of the city.
-
D.
Lake Ray Hubbard
Lake Ray Hubbard is a large reservoir in the Dallas–Fort Worth area of Texas, popular for boating, fishing, and lakeside recreation.
-
E.
Brazos Valley
The Brazos Valley is a region of east-central Texas centered around the Brazos River and anchored by cities such as College Station and Bryan.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc7041248190893e4c655dbd0604 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f139a008190a20f38330364dd2b |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:44 p.m.