Triple
T21358610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neches River |
E526704
|
entity |
| Predicate | hasReservoir |
P1025
|
FINISHED |
| Object | Lake Palestine |
—
|
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 Palestine | Statement: [Neches River, hasReservoir, Lake Palestine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Palestine Context triple: [Neches River, hasReservoir, Lake Palestine]
-
A.
Lake Palestine
chosen
Lake Palestine is a large reservoir in East Texas popular for fishing, boating, and lakeside recreation.
-
B.
Lake Ahquabi
Lake Ahquabi is a man-made recreational lake in central Iowa known for fishing, boating, and swimming within the surrounding state park.
-
C.
Lake Gilead
Lake Gilead is a small reservoir in Putnam County, New York, that serves as part of New York City's Croton water supply system.
-
D.
Palestine Lake
Palestine Lake is a natural freshwater lake located in northern Indiana, known for recreational fishing and boating.
-
E.
Lake Jordan
Lake Jordan is a man-made reservoir in central Alabama known for recreational boating, fishing, and lakeside residential communities.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa3924c8190b3decbfda4a2aecf |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.