Triple
T26176315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campsie Glen |
E654550
|
entity |
| Predicate | approximateDistanceFromGlasgow |
P117880
|
FINISHED |
| Object | about 10 miles 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: about 10 miles north | Statement: [Campsie Glen, approximateDistanceFromGlasgow, about 10 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDistanceFromGlasgow Context triple: [Campsie Glen, approximateDistanceFromGlasgow, about 10 miles north]
-
A.
distanceToGlasgowApprox
chosen
Indicates an approximate measure of how far something is from Glasgow.
-
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.
distanceFromMilngavie
Indicates the spatial distance between an entity and the location of Milngavie.
-
E.
distanceToEdinburgh_km
Indicates the physical distance, measured in kilometers, between an entity’s location and Edinburgh.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 26, 2026, 8:37 p.m.