Triple
T26802315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columban church |
E671133
|
entity |
| Predicate | centeredOnMonastery |
P20652
|
FINISHED |
| Object | Iona |
—
|
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: Iona | Statement: [Columban church, centeredOnMonastery, Iona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centeredOnMonastery Context triple: [Columban church, centeredOnMonastery, Iona]
-
A.
containsMonastery
chosen
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
B.
mainMonasteryLocation
Indicates the place where a religious order’s primary or central monastery is situated.
-
C.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
-
D.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
E.
monasteryDedicatedTo
Indicates that a monastery is formally devoted or consecrated to a particular deity, saint, religious figure, or sacred concept.
- 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_69eeb31fbd888190a82dac5822e453bc |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:24 a.m.