Triple
T29580322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knowle, Hampshire |
E753558
|
entity |
| Predicate | distanceToWickham |
P202618
|
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: [Knowle, Hampshire, distanceToWickham, approximately 2 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWickham Context triple: [Knowle, Hampshire, distanceToWickham, approximately 2 miles]
-
A.
distanceFromLongbourn
Indicates the spatial separation or length of travel between a given location and Longbourn.
-
B.
relationshipToEmmaWoodhouse
Indicates the specific interpersonal or familial connection that an entity has to Emma Woodhouse.
-
C.
distanceToFarnham
Indicates the spatial distance between a given entity and the location of Farnham.
-
D.
distanceToBuckingham
Indicates the spatial distance between a given entity and Buckingham (e.g., Buckingham Palace or the locality named Buckingham).
-
E.
distanceToMarlow
Indicates the spatial distance between a given entity and the entity named Marlow.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a00a15604fc8190b1c280794960f3a4 |
completed | May 10, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_6a00a0f7e77881909ac85755ab0e6329 |
completed | May 10, 2026, 3:15 p.m. |
| PDg | Predicate description generation | batch_6a00a154c3b0819088de3f22f3f81040 |
completed | May 10, 2026, 3:16 p.m. |
Created at: April 28, 2026, 6:06 p.m.