Triple
T7411394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Augustus |
E171011
|
entity |
| Predicate | distanceToFortWilliam |
P49608
|
FINISHED |
| Object | approximately 31 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 31 miles | Statement: [Fort Augustus, distanceToFortWilliam, approximately 31 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToFortWilliam Context triple: [Fort Augustus, distanceToFortWilliam, approximately 31 miles]
-
A.
distanceFromFortWilliam
chosen
Indicates the measured distance between an entity and Fort William.
-
B.
distanceToWhistlerByRoad
Indicates the road travel distance between a given place and Whistler.
-
C.
distanceToInverness
Indicates the spatial distance between a given entity and the location of Inverness.
-
D.
distanceToWinnipeg
Indicates the spatial distance between a given entity’s location and the city of Winnipeg.
-
E.
distanceFromCalgary
Indicates the spatial distance between a given location and the city of Calgary.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29ebea48190be96c6bc1e6406fb |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.