Triple
T10643463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilkenny |
E250779
|
entity |
| Predicate | hasReligiousSite |
P916
|
FINISHED |
| Object | Black Abbey |
E877929
|
NE 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: Black Abbey | Statement: [Kilkenny, hasReligiousSite, Black Abbey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Abbey Context triple: [Kilkenny, hasReligiousSite, Black Abbey]
-
A.
Black Abbey
chosen
Black Abbey is a historic Dominican priory in Kilkenny, Ireland, renowned for its medieval architecture and stained-glass windows.
-
B.
Abbey of Maredret
The Abbey of Maredret is a Benedictine monastery in Wallonia, Belgium, known for its neo-Gothic architecture and traditional monastic life.
-
C.
Abbey
Abbey is the familiar nickname of Abbey Bartlet, the fictional First Lady from the television series "The West Wing."
-
D.
Abbey
Abbey is a surname most notably associated with Edwin Austin Abbey, an American painter and illustrator known for his murals and illustrations of Shakespearean and Victorian subjects.
-
E.
Cloister Court
Cloister Court is a historic quadrangle within Jesus College, Cambridge, known for its cloistered walkways and traditional collegiate architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcf65fc81909a0c86daefaab1ab |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9884dab1481909c868f7d54265a60 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:05 p.m.