Triple
T38319101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tranent |
E1036608
|
entity |
| Predicate | hasDistanceToEdinburgh |
P21882
|
FINISHED |
| Object | approximately 10 miles east |
—
|
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 miles east | Statement: [Tranent, hasDistanceToEdinburgh, approximately 10 miles east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistanceToEdinburgh Context triple: [Tranent, hasDistanceToEdinburgh, approximately 10 miles east]
-
A.
distanceFromEdinburghApprox
chosen
Indicates that an entity is located at an approximate distance from Edinburgh, rather than an exact measured distance.
-
B.
distanceToEdinburgh_km
Indicates the physical distance, measured in kilometers, between an entity’s location and Edinburgh.
-
C.
distanceFromGlasgow
Indicates the spatial distance separating a given entity or location from Glasgow.
-
D.
distanceFromEdinburghWaverley
Indicates the measured distance between a given location and Edinburgh Waverley station.
-
E.
distanceToGlasgowApprox
Indicates an approximate measure of how far something is from Glasgow.
- 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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
Created at: May 3, 2026, 4:30 p.m.