Triple
T23543466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Bidwell Park |
E577818
|
entity |
| Predicate | positionWithinPark |
P114811
|
FINISHED |
| Object | central section of Bidwell Park |
—
|
LITERAL 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: central section of Bidwell Park | Statement: [Middle Bidwell Park, positionWithinPark, central section of Bidwell Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinPark Context triple: [Middle Bidwell Park, positionWithinPark, central section of Bidwell Park]
-
A.
positionInPark
Indicates that one entity occupies a specific location or spot within a park.
-
B.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
C.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
D.
locatedInAttractionScene
Indicates that one entity is situated within or is part of the setting or scene of an attraction.
-
E.
locatedInParkSectionGroup
chosen
Indicates that something is situated within a specific section group of a park.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1dbe188190bc4afe7bfa7cda0f |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:11 p.m.