Triple
T37633631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newbury Park |
E936420
|
entity |
| Predicate | hasNearbyOpenSpaceAgency |
P80471
|
FINISHED |
| Object | Conejo Open Space Conservation Agency |
—
|
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: Conejo Open Space Conservation Agency | Statement: [Newbury Park, hasNearbyOpenSpaceAgency, Conejo Open Space Conservation Agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyOpenSpaceAgency Context triple: [Newbury Park, hasNearbyOpenSpaceAgency, Conejo Open Space Conservation Agency]
-
A.
hasNearbyResearchStations
Indicates that one entity has research stations located in close geographical proximity to it.
-
B.
hasOpenSpaceNearby
chosen
Indicates that an entity is located near or adjacent to an area that is open, unobstructed, or undeveloped.
-
C.
hasNearbyHeadquarters
Indicates that the headquarters of two entities are located geographically close to each other.
-
D.
hasNearbyObservatories
Indicates that one entity has one or more observatories located in close geographic proximity to it.
-
E.
nearbyLaunchComplex
Indicates that one launch complex is located close to another in physical space.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00acf86e4081909aad9356650e0f79 |
completed | May 10, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_6a00ac813fd08190a0a7782609e74e70 |
completed | May 10, 2026, 4:04 p.m. |
Created at: May 3, 2026, 4:18 p.m.