Triple
T29856230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bon religion |
E758195
|
entity |
| Predicate | mainMonasteryInExile |
P116884
|
FINISHED |
| Object | Menri Monastery in Dolanji |
—
|
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: Menri Monastery in Dolanji | Statement: [Bon religion, mainMonasteryInExile, Menri Monastery in Dolanji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainMonasteryInExile Context triple: [Bon religion, mainMonasteryInExile, Menri Monastery in Dolanji]
-
A.
hasMainMonasteryInExile
chosen
Indicates that an entity’s primary monastery is located outside its original or traditional homeland, in a place of exile.
-
B.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
C.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
D.
usedMonastery
Indicates that an entity made use of, occupied, or operated within a monastery for some purpose.
-
E.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6764be1fc8190a474af62f40a95a5 |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:46 p.m.