Triple
T36496772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Meath and Kildare |
E899210
|
entity |
| Predicate | hasHistoricCathedralTown |
P67118
|
FINISHED |
| Object | Trim |
—
|
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: Trim | Statement: [Diocese of Meath and Kildare, hasHistoricCathedralTown, Trim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricCathedralTown Context triple: [Diocese of Meath and Kildare, hasHistoricCathedralTown, Trim]
-
A.
hasHistoricCathedralCity
Indicates that one entity is historically recognized as a cathedral city associated with or belonging to another entity.
-
B.
hasCathedralTown
chosen
Indicates that a given town is recognized as having a cathedral, typically serving as the seat of a bishop or central church authority.
-
C.
hasHistoricChurches
Indicates that an entity possesses or contains one or more churches of recognized historical significance.
-
D.
containsHistoricTown
Indicates that one entity geographically includes or encompasses a town that has recognized historical significance.
-
E.
hasHistoricTownRights
Indicates that an entity possesses officially granted historic town rights, typically conferring a traditional legal or municipal status as a town.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
Created at: May 3, 2026, 4:10 p.m.