Triple
T30692387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitareti |
E781363
|
entity |
| Predicate | monasteryNearbyReligion |
P158195
|
FINISHED |
| Object | Georgian Orthodox Church |
—
|
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: Georgian Orthodox Church | Statement: [Pitareti, monasteryNearbyReligion, Georgian Orthodox Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasteryNearbyReligion Context triple: [Pitareti, monasteryNearbyReligion, Georgian Orthodox Church]
-
A.
nearReligiousSite
Indicates that one entity is located close to or in the immediate vicinity of a religious site.
-
B.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
-
C.
monasticCenters
Indicates that one entity serves as a monastic center or hub for religious monastic life in relation to another entity.
-
D.
monasteryDenomination
chosen
Indicates the religious denomination or order with which a monastery is affiliated.
-
E.
monasteryType
Indicates the specific kind or classification of a monastery in relation to its broader religious or organizational category.
- 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_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:33 p.m.