Triple
T37683067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Conroe Dam on West Fork |
E938289
|
entity |
| Predicate | waterBodyImpounded |
P32893
|
FINISHED |
| Object | West Fork San Jacinto River |
—
|
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: West Fork San Jacinto River | Statement: [Lake Conroe Dam on West Fork, waterBodyImpounded, West Fork San Jacinto River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterBodyImpounded Context triple: [Lake Conroe Dam on West Fork, waterBodyImpounded, West Fork San Jacinto River]
-
A.
riverImpounded
Indicates that a river’s natural flow is obstructed or controlled, typically by a dam or similar structure, creating an impoundment such as a reservoir.
-
B.
watercourseHasDam
chosen
Indicates that a watercourse (such as a river or stream) has a dam constructed on or across it.
-
C.
waterbodyUsedFor
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
-
D.
isFreshwaterBody
Indicates that the referenced body of water consists primarily of non-saline (fresh) water rather than saltwater.
-
E.
waterbodyID
Indicates a unique identifier that links an entity to a specific body of water.
- F. None of above.
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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:18 p.m.