Triple
T31911616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fair Isle |
E814702
|
entity |
| Predicate | distanceToShetlandMainland |
P203949
|
FINISHED |
| Object | about 38 kilometres |
—
|
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 38 kilometres | Statement: [Fair Isle, distanceToShetlandMainland, about 38 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToShetlandMainland Context triple: [Fair Isle, distanceToShetlandMainland, about 38 kilometres]
-
A.
distanceToOuterHebrides
Indicates the measured distance between a given entity’s location and the Outer Hebrides.
-
B.
distanceToKirkwall
Indicates the spatial distance between a given location and the location of Kirkwall.
-
C.
distanceToFraserburgh
Indicates the spatial distance between a given entity or location and Fraserburgh.
-
D.
distanceToLerwickKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and the town of Lerwick.
-
E.
distanceFromIsleOfLewis
Indicates the measured distance between a given entity and the Isle of Lewis.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a02fcbe03d0819082d3dd715ed41623 |
completed | May 12, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_6a02fc62138081908d2dbc5db7541d13 |
completed | May 12, 2026, 10:09 a.m. |
| PDg | Predicate description generation | batch_6a02fcbd67c8819089827d38434063a1 |
completed | May 12, 2026, 10:11 a.m. |
Created at: May 1, 2026, 12:01 a.m.