Triple
T29318134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Point, Virginia |
E743435
|
entity |
| Predicate | waterbodiesForm |
P106483
|
FINISHED |
| Object | York 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: York River | Statement: [West Point, Virginia, waterbodiesForm, York River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterbodiesForm Context triple: [West Point, Virginia, waterbodiesForm, York River]
-
A.
addressesWaterBody
Indicates that an action, plan, or measure is directed toward managing, affecting, or dealing with a specific water body.
-
B.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
C.
waterbodyID
Indicates a unique identifier that links an entity to a specific body of water.
-
D.
formsBodyOfWater
chosen
Indicates that one entity constitutes or creates the physical substance or structure that makes up a particular body of water.
-
E.
waterbodyType
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
- 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 28, 2026, 1:21 p.m.