Triple
T25340595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brightwell-cum-Sotwell |
E635398
|
entity |
| Predicate | distanceToWallingford |
P180290
|
FINISHED |
| Object | approximately 1 mile 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 1 mile west | Statement: [Brightwell-cum-Sotwell, distanceToWallingford, approximately 1 mile west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWallingford Context triple: [Brightwell-cum-Sotwell, distanceToWallingford, approximately 1 mile west]
-
A.
distanceToGuildford
Indicates the spatial distance between a given entity’s location and the location of Guildford.
-
B.
distanceFromWatfordJunction
Indicates the spatial distance between a given location and Watford Junction.
-
C.
distanceToTelford
Indicates the spatial distance between a given entity and the location of Telford.
-
D.
distanceToHertford
Indicates the spatial distance between a given entity and the location of Hertford.
-
E.
distanceToStamford
Indicates the spatial distance between a given entity and the location Stamford.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: April 21, 2026, 1:32 p.m.