Triple
T15730064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Island, County Cork |
E381317
|
entity |
| Predicate | distanceToCorkCityCentre |
P113174
|
FINISHED |
| Object | approximately 9 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: approximately 9 km | Statement: [Little Island, County Cork, distanceToCorkCityCentre, approximately 9 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCorkCityCentre Context triple: [Little Island, County Cork, distanceToCorkCityCentre, approximately 9 km]
-
A.
distanceFromCorkCity
chosen
Indicates the spatial distance between a given place and Cork City.
-
B.
distanceFromDublinCityCentre_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
-
C.
distanceFromKillarney
Indicates the measured distance between a given entity and the location of Killarney.
-
D.
directionFromDublinCityCentre
Indicates the compass direction or orientation of an entity relative to Dublin city centre.
-
E.
distanceToBelfast
Indicates the spatial distance between a given entity’s location and the city of Belfast.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb61cb881908b158609c1ccfa1e |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.