Triple
T38033479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datchet railway station |
E948978
|
entity |
| Predicate | distanceToWindsorAndEtonRiverside |
P101871
|
FINISHED |
| Object | approximately 2 miles |
—
|
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: approximately 2 miles | Statement: [Datchet railway station, distanceToWindsorAndEtonRiverside, approximately 2 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWindsorAndEtonRiverside Context triple: [Datchet railway station, distanceToWindsorAndEtonRiverside, approximately 2 miles]
-
A.
distanceToWindsor
chosen
Indicates the spatial distance between a given entity and the location named Windsor.
-
B.
distanceToRipon
Indicates the measured distance between a given entity or location and the place named Ripon.
-
C.
distanceToWallingford
Indicates the spatial distance between a given entity and the location named Wallingford.
-
D.
distanceToBridgwater
Indicates the spatial distance between a given entity and the location named Bridgwater.
-
E.
distanceToWarwick
Indicates the spatial distance between a given entity and the location Warwick.
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.