Triple
T21556405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texoma Shore |
E531902
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Lake Texoma |
—
|
NE NERFINISHED |
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: [Texoma Shore, namedAfter, Lake Texoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Texoma Context triple: [Texoma Shore, namedAfter, 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 Tyler
Lake Tyler is a popular East Texas reservoir and recreation area known for fishing, boating, and supplying water to nearby communities including Whitehouse.
-
C.
Lake Taneycomo
Lake Taneycomo is a cold, trout-filled reservoir in the Ozark Mountains of southwest Missouri that combines features of both a river and a lake and is popular for fishing and outdoor recreation.
-
D.
Lake Tawakoni
Lake Tawakoni is a large reservoir in northeast Texas popular for fishing, boating, and outdoor recreation.
-
E.
Lake Livingston
Lake Livingston is a large man-made reservoir in East Texas known for recreation, fishing, and serving as a major water supply for the Houston area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e04b048190ac3a9913094b4625 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.