Triple
T33375929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thread Creek |
E854626
|
entity |
| Predicate | namedWaterBody |
P187403
|
FINISHED |
| Object | Thread Creek |
—
|
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: Thread Creek | Statement: [Thread Creek, namedWaterBody, Thread Creek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedWaterBody Context triple: [Thread Creek, namedWaterBody, Thread Creek]
-
A.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
B.
formsBodyOfWater
Indicates that one entity constitutes or creates the physical substance or structure that makes up a particular body of water.
-
C.
landingBodyOfWater
Indicates that an entity (such as an aircraft or vessel) lands on or comes to rest upon a specified body of water.
-
D.
connectedBodyOfWater
Indicates that two geographic locations are linked by a continuous body of water through which water can flow between them.
-
E.
addressesWaterBody
Indicates that an action, plan, or measure is directed toward managing, affecting, or dealing with a specific water body.
- F. None of above. chosen
Provenance (4 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: May 1, 2026, 1:35 a.m.