Triple
T32663670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holtye |
E835096
|
entity |
| Predicate | distanceToTunbridgeWells |
P73240
|
FINISHED |
| Object | approximately 7 miles west |
—
|
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 7 miles west | Statement: [Holtye, distanceToTunbridgeWells, approximately 7 miles west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTunbridgeWells Context triple: [Holtye, distanceToTunbridgeWells, approximately 7 miles west]
-
A.
distanceTo Royal Tunbridge Wells
chosen
Indicates the spatial distance between a given reference point and the location of Royal Tunbridge Wells.
-
B.
distanceToBridgwater
Indicates the spatial distance between a given entity and the location named Bridgwater.
-
C.
distanceTo Tonbridge
Indicates the spatial distance between a given reference point and the location of Tonbridge.
-
D.
distanceToLeatherhead
Indicates the spatial distance between a given entity and the location known as Leatherhead.
-
E.
distanceFromUxbridge
Indicates the measured distance between a given entity or location and Uxbridge.
- 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_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:08 a.m.