Triple
T35541331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnalea railway station |
E1027068
|
entity |
| Predicate | distanceFromBelfastCentral |
P33317
|
FINISHED |
| Object | approximately 11 miles |
—
|
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 11 miles | Statement: [Carnalea railway station, distanceFromBelfastCentral, approximately 11 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBelfastCentral Context triple: [Carnalea railway station, distanceFromBelfastCentral, approximately 11 miles]
-
A.
distanceToBelfast
chosen
Indicates the spatial distance between a given entity’s location and the city of Belfast.
-
B.
distanceFromBallymena
Indicates the spatial distance between a given entity or location and Ballymena.
-
C.
distanceFromEnniskillen
Indicates the spatial distance between a given entity and the location of Enniskillen.
-
D.
distanceFromDublinCityCentre_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
-
E.
distanceToColeraine
Indicates the spatial distance between a given location or entity and the place named Coleraine.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.