Triple
T35559214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ireland’s Ancient East |
E1027589
|
entity |
| Predicate | tourismProductOf |
P183405
|
FINISHED |
| Object | Fáilte Ireland |
—
|
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: Fáilte Ireland | Statement: [Ireland’s Ancient East, tourismProductOf, Fáilte Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismProductOf Context triple: [Ireland’s Ancient East, tourismProductOf, Fáilte Ireland]
-
A.
tourismService
Indicates a relationship where an entity provides or is associated with services intended for tourists, such as travel, accommodation, or guided activities.
-
B.
tourismProject
Indicates a relationship where an entity is involved in, associated with, or designated as a tourism-related project or development initiative.
-
C.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
D.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
E.
hasTourismResource
Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:04 p.m.