Triple
T14197513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandon, County Cork |
E351876
|
entity |
| Predicate | distanceFromCorkCity |
P113174
|
FINISHED |
| Object | approximately 27 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 27 km | Statement: [Bandon, County Cork, distanceFromCorkCity, approximately 27 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCorkCity Context triple: [Bandon, County Cork, distanceFromCorkCity, approximately 27 km]
-
A.
distanceFromDublinCityCentre_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
-
B.
distanceToBelfast
Indicates the spatial distance between a given entity’s location and the city of Belfast.
-
C.
distanceFromEnniskillen
Indicates the spatial distance between a given entity and the location of Enniskillen.
-
D.
directionFromDublinCityCentre
Indicates the compass direction or orientation of an entity relative to Dublin city centre.
-
E.
distanceFromHamilton
Indicates the spatial distance between a given entity and the location identified as Hamilton.
- F. None of above. chosen
Provenance (4 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e30f208190b61c1c7bd3501156 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:04 a.m.