Triple
T24059521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballinluig |
E595903
|
entity |
| Predicate | distanceToPitlochry |
P154705
|
FINISHED |
| Object | approximately 5 miles south |
—
|
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 5 miles south | Statement: [Ballinluig, distanceToPitlochry, approximately 5 miles south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPitlochry Context triple: [Ballinluig, distanceToPitlochry, approximately 5 miles south]
-
A.
distanceToLochLomond
Indicates the spatial distance between a given entity or location and Loch Lomond.
-
B.
distanceToAilsaCraig
Indicates the measured or calculated distance between a given entity or location and Ailsa Craig.
-
C.
distanceToOban
Indicates the measured or calculated distance between a given entity or location and the place named Oban.
-
D.
distanceToBrechin
Indicates the spatial distance between a given entity or location and the place named Brechin.
-
E.
distanceToWelshpool
Indicates the spatial distance between a given entity and the location of Welshpool.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da543e74819083ebea41ca20e0e9 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:37 p.m.