Triple
T8059119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glens of Antrim |
E188071
|
entity |
| Predicate | tourismReputation |
P30883
|
FINISHED |
| Object | one of the most scenic areas of Northern Ireland |
—
|
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: one of the most scenic areas of Northern Ireland | Statement: [Glens of Antrim, tourismReputation, one of the most scenic areas of Northern Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismReputation Context triple: [Glens of Antrim, tourismReputation, one of the most scenic areas of Northern Ireland]
-
A.
hasTourismRating
chosen
Indicates that an entity has been assigned a specific tourism-related quality or rating, reflecting its appeal or suitability for tourists.
-
B.
tourismAttitude
Indicates the stance, perception, or disposition that an entity holds toward tourism or tourist activities.
-
C.
regionalReputation
Indicates the recognition or standing an entity has within a specific geographic region based on its performance, influence, or perceived quality.
-
D.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
E.
SkytraxRating
Indicates that an entity has been assigned a specific quality or performance rating according to the Skytrax airline and airport evaluation system.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa51adc8190b9327441bd8b9fb3 |
completed | March 31, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:25 p.m.