Triple
T23391242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arisaig railway station |
E594022
|
entity |
| Predicate | distanceFromMallaig |
P152076
|
FINISHED |
| Object | approximately 14 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 14 miles | Statement: [Arisaig railway station, distanceFromMallaig, approximately 14 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMallaig Context triple: [Arisaig railway station, distanceFromMallaig, approximately 14 miles]
-
A.
distanceFromMilngavie
Indicates the spatial distance between an entity and the location of Milngavie.
-
B.
distanceToPortree
Indicates the spatial distance between a given entity’s location and the location of Portree.
-
C.
distanceToAilsaCraig
Indicates the measured or calculated distance between a given entity or location and Ailsa Craig.
-
D.
distanceToOban
Indicates the measured or calculated distance between a given entity or location and the place named Oban.
-
E.
distanceToPeterhead
Indicates the measured distance between a given entity or location and Peterhead.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49bdfec8190afa592c66660c279 |
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, 5:36 p.m.