Triple
T1190607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prairie |
E25348
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Joe Pool Lake |
E269376
|
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: Joe Pool Lake | Statement: [Grand Prairie, hasBodyOfWater, Joe Pool Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Pool Lake Context triple: [Grand Prairie, hasBodyOfWater, Joe Pool Lake]
-
A.
Joe Pool Lake
chosen
Joe Pool Lake is a large reservoir in North Texas popular for boating, fishing, and lakeside recreation.
-
B.
Logan Martin Lake
Logan Martin Lake is a large man-made reservoir on the Coosa River in central Alabama, popular for boating, fishing, and lakeside recreation.
-
C.
Wheeler Lake
Wheeler Lake is a large man-made reservoir in northern Alabama known for its recreational boating, fishing, and role in regional hydroelectric power and navigation.
-
D.
Neely Henry Lake
Neely Henry Lake is a reservoir on the Coosa River in Alabama known for recreational boating and fishing.
-
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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd58d8d88190b8d9c9c9de7f4e97 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af989077b881909eb04ffb1e252e8c |
completed | March 10, 2026, 4:05 a.m. |
Created at: March 1, 2026, 7:45 p.m.