Triple
T36397212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walthamstow Queen's Road |
E896516
|
entity |
| Predicate | distanceToWalthamstowCentralApprox |
P204855
|
FINISHED |
| Object | about 500 metres |
—
|
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: about 500 metres | Statement: [Walthamstow Queen's Road, distanceToWalthamstowCentralApprox, about 500 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWalthamstowCentralApprox Context triple: [Walthamstow Queen's Road, distanceToWalthamstowCentralApprox, about 500 metres]
-
A.
distanceFromWatfordJunction
Indicates the spatial distance between a given location and Watford Junction.
-
B.
distanceToHarlow
Indicates the spatial distance between a given entity and the location named Harlow.
-
C.
distanceToSaffronWalden
Indicates the spatial distance between a given entity and the location of Saffron Walden.
-
D.
distanceToBasildon
Indicates the spatial distance between a given entity and the location of Basildon.
-
E.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
- F. None of above. chosen
Provenance (4 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:10 p.m.