Triple
T18650597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craigowl Hill |
E455922
|
entity |
| Predicate | distanceFromDundee |
P5888
|
FINISHED |
| Object | approximately 10 kilometres north |
—
|
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 10 kilometres north | Statement: [Craigowl Hill, distanceFromDundee, approximately 10 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDundee Context triple: [Craigowl Hill, distanceFromDundee, approximately 10 kilometres north]
-
A.
distanceToDundee
chosen
Indicates the measured spatial distance between a given entity and the location of Dundee.
-
B.
distanceFromGlasgow
Indicates the spatial distance separating a given entity or location from Glasgow.
-
C.
distanceFromEdinburghApprox
Indicates that an entity is located at an approximate distance from Edinburgh, rather than an exact measured distance.
-
D.
distanceToEdinburgh_km
Indicates the physical distance, measured in kilometers, between an entity’s location and Edinburgh.
-
E.
distanceToKirkcaldy
Indicates the spatial distance between a given entity and the location of Kirkcaldy.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55010d27c8190aad8d3c9e8cd31b2 |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.