Triple
T36398095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dundalk railway station |
E896541
|
entity |
| Predicate | hasApproximateDistanceToDublin |
P26819
|
FINISHED |
| Object | about 80 km |
—
|
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 80 km | Statement: [Dundalk railway station, hasApproximateDistanceToDublin, about 80 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateDistanceToDublin Context triple: [Dundalk railway station, hasApproximateDistanceToDublin, about 80 km]
-
A.
distanceFromDublinCityCentre_km
chosen
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
-
B.
hasAdjacentStationTowardsDublin
Indicates that one station is directly next to another station in the direction of Dublin.
-
C.
distanceFromCorkCity
Indicates the spatial distance between a given place and Cork City.
-
D.
distanceFromGalway
Indicates the spatial distance separating an entity from the location of Galway.
-
E.
distanceToDrogheda_km
Indicates the distance, measured in kilometers, between a given place or object and Drogheda.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: May 3, 2026, 4:10 p.m.