Triple
T21249392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rathmullan |
E523699
|
entity |
| Predicate | Rathmullan Friary_instanceOf |
P19602
|
FINISHED |
| Object | Augustinian friary |
—
|
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: Augustinian friary | Statement: [Rathmullan, Rathmullan Friary_instanceOf, Augustinian friary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Rathmullan Friary_instanceOf Context triple: [Rathmullan, Rathmullan Friary_instanceOf, Augustinian friary]
-
A.
abbeyDenomination
Indicates the religious denomination or order with which an abbey is affiliated.
-
B.
monasteryDedicatedTo
Indicates that a monastery is formally devoted or consecrated to a particular deity, saint, religious figure, or sacred concept.
-
C.
abbeyLocation
Indicates the geographical place where an abbey is situated or located.
-
D.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
E.
monastery
chosen
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359c7a648190b4345336ac3be024 |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:56 p.m.