Triple
T32663650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pevens Way Roundabout, Broadfield, Crawley |
E835095
|
entity |
| Predicate | nearbyResidentialArea |
P19783
|
FINISHED |
| Object | Broadfield |
—
|
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: Broadfield | Statement: [Pevens Way Roundabout, Broadfield, Crawley, nearbyResidentialArea, Broadfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyResidentialArea Context triple: [Pevens Way Roundabout, Broadfield, Crawley, nearbyResidentialArea, Broadfield]
-
A.
nearbyEstate
Indicates that one estate is located close to another estate in physical space.
-
B.
residesNear
Indicates that one entity lives or is located in close physical proximity to another entity.
-
C.
hasNearbyLandUse
chosen
Indicates that one land area is located close to another area characterized by a specific type of land use.
-
D.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
E.
nearbySettlements
Indicates that one settlement is located close to another settlement in geographic 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
Created at: May 1, 2026, 1:08 a.m.