Triple
T24341882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballyhoura Mountains |
E613532
|
entity |
| Predicate | hasTrailCentre |
P155776
|
FINISHED |
| Object | Ballyhoura Mountain Bike Trail Centre |
—
|
NE NERFINISHED |
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: Ballyhoura Mountain Bike Trail Centre | Statement: [Ballyhoura Mountains, hasTrailCentre, Ballyhoura Mountain Bike Trail Centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailCentre Context triple: [Ballyhoura Mountains, hasTrailCentre, Ballyhoura Mountain Bike Trail Centre]
-
A.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
B.
hasTrailFeature
Indicates that a trail possesses or is characterized by a specific feature or attribute.
-
C.
hasTrailAccessPoint
Indicates that there is a specific access point or entrance connecting a location to a trail or pathway.
-
D.
hasTrailConnection
Indicates that one location is connected to another by a traversable trail or path.
-
E.
hasTrailNetwork
Indicates that an entity possesses or is associated with a system of interconnected trails or paths.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2932511908190993ed984fdc4c739 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:57 a.m.