Triple
T16638114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belton, Texas |
E404260
|
entity |
| Predicate | nearWaterbody |
P25960
|
FINISHED |
| Object | Belton Lake |
—
|
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: Belton Lake | Statement: [Belton, Texas, nearWaterbody, Belton Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belton Lake Context triple: [Belton, Texas, nearWaterbody, Belton Lake]
-
A.
Belton Lake
chosen
Belton Lake is a man-made reservoir in central Texas known for recreation, fishing, and flood control along the Leon River.
-
B.
Bardwell Lake
Bardwell Lake is a man-made reservoir in north-central Texas popular for fishing, boating, and other outdoor recreation.
-
C.
Herrington Lake
Herrington Lake is a large man-made reservoir in central Kentucky known for its deep waters, recreational boating, and fishing opportunities.
-
D.
Yates Lake
Yates Lake is a man-made reservoir in Alabama known for recreational activities like fishing and boating, created by damming the Tallapoosa River.
-
E.
Melton Hill Lake
Melton Hill Lake is a reservoir on the Clinch River in East Tennessee known for boating, fishing, and other outdoor recreational activities.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378eb07388190a10e896bae7f098e |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:18 a.m.