Triple
T25701817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings Nympton |
E644482
|
entity |
| Predicate | distanceToBarnstaple |
P189325
|
FINISHED |
| Object | approximately 10 miles south-east |
—
|
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 10 miles south-east | Statement: [Kings Nympton, distanceToBarnstaple, approximately 10 miles south-east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBarnstaple Context triple: [Kings Nympton, distanceToBarnstaple, approximately 10 miles south-east]
-
A.
distanceToBarnstaple_km
Indicates the distance, measured in kilometers, between a given location and Barnstaple.
-
B.
distanceToBodmin
Indicates the spatial distance between an entity and the location Bodmin.
-
C.
distanceFromLiskeard
Indicates the measured distance between a given location and the town of Liskeard.
-
D.
distanceToPenzance
Indicates the spatial distance between a given entity’s location and the town of Penzance.
-
E.
distanceToCornwall
Indicates the spatial distance between a given entity and the location Cornwall.
- 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: April 21, 2026, 8:47 p.m.