Triple
T14826769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willow Tree |
E348595
|
entity |
| Predicate | distanceTo_Tamworth_km |
P47161
|
FINISHED |
| Object | approximately 90 |
—
|
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 90 | Statement: [Willow Tree, distanceTo_Tamworth_km, approximately 90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceTo_Tamworth_km Context triple: [Willow Tree, distanceTo_Tamworth_km, approximately 90]
-
A.
distanceFromTamworth
chosen
Indicates the spatial distance measured from the reference location Tamworth to another place or entity.
-
B.
distanceToGrantham
Indicates the spatial distance between a given entity and the location of Grantham.
-
C.
distanceToTelford
Indicates the spatial distance between a given entity and the location of Telford.
-
D.
distanceToStokeOnTrent
Indicates the measured distance between a given entity’s location and the location of Stoke-on-Trent.
-
E.
distanceToScunthorpe
Indicates the measured or calculated distance between a given entity’s location and the town of Scunthorpe.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0713700819097bbb0352650984b |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:51 a.m.