Triple
T28127458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drepung Monastery |
E710967
|
entity |
| Predicate | monasticColleges |
P164061
|
FINISHED |
| Object | Gomang College |
—
|
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: Gomang College | Statement: [Drepung Monastery, monasticColleges, Gomang College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasticColleges Context triple: [Drepung Monastery, monasticColleges, Gomang College]
-
A.
monasticColleges
chosen
Indicates that there is a relationship involving monastic colleges, typically linking an entity to the monastic educational or residential institutions with which it is associated.
-
B.
monasticCenters
Indicates that one entity serves as a monastic center or hub for religious monastic life in relation to another entity.
-
C.
monasticCurriculum
Indicates that one entity is the structured course of study, training, or educational program followed within a monastic or religious community by another entity.
-
D.
monasteriesAre
Indicates that a subject is classified as, functions as, or is identified with monasteries.
-
E.
monasteryOrder
Indicates that a monastery belongs to, follows, or is affiliated with a particular religious order.
- 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_69ef9b73bd288190a21ae3d6aa14f386 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 9:21 p.m.