Triple
T30692386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitareti |
E781363
|
entity |
| Predicate | monasteryNearbyName |
P136704
|
FINISHED |
| Object | Pitareti Monastery |
—
|
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: Pitareti Monastery | Statement: [Pitareti, monasteryNearbyName, Pitareti Monastery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasteryNearbyName Context triple: [Pitareti, monasteryNearbyName, Pitareti Monastery]
-
A.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
-
B.
monasteryName
chosen
Indicates the name assigned to a monastery as its identifying label.
-
C.
monasticCenters
Indicates that one entity serves as a monastic center or hub for religious monastic life in relation to another entity.
-
D.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
E.
nearReligiousSite
Indicates that one entity is located close to or in the immediate vicinity of a religious site.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68bd862f881908f9ef9109981036a |
completed | May 2, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:33 p.m.