Triple
T23383446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowden railway station |
E593811
|
entity |
| Predicate | distanceFromCowdenVillage |
P152028
|
FINISHED |
| Object | about 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: about 2 miles | Statement: [Cowden railway station, distanceFromCowdenVillage, about 2 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCowdenVillage Context triple: [Cowden railway station, distanceFromCowdenVillage, about 2 miles]
-
A.
distanceToClitheroe
Indicates the spatial distance between a given entity or location and the town of Clitheroe.
-
B.
distanceToCarterton
Indicates the spatial distance between a given entity or location and Carterton.
-
C.
distanceFromDalbeattie
Indicates the spatial distance between an entity and the location of Dalbeattie.
-
D.
distanceToCoatbridge
Indicates the spatial distance between a given entity or location and the place named Coatbridge.
-
E.
distanceToMotherwell
Indicates the physical distance between a given location or entity and the place named Motherwell.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a496ae34819090e86c89eef6d2dc |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:34 p.m.