Triple
T1575798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Englefield Green |
E33646
|
entity |
| Predicate | nearMajorRoad |
P8235
|
FINISHED |
| Object | A30 road |
—
|
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: A30 road | Statement: [Englefield Green, nearMajorRoad, A30 road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearMajorRoad Context triple: [Englefield Green, nearMajorRoad, A30 road]
-
A.
nearestMotorway
Indicates that one entity is the motorway that is geographically closest to the other entity.
-
B.
motorwayJunctionNearby
Indicates that a motorway junction is located close to the referenced entity.
-
C.
hasNearbyStreet
chosen
Indicates that one entity is located close to or adjacent to a street.
-
D.
nearestInterstateHighway
Indicates that one interstate highway is the closest in distance to a given location or route compared to all other interstate highways.
-
E.
nearbyTransit
Indicates that one location has public transportation options situated within a short distance or easy access from it.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.