Triple
T29856345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladakhis |
E758197
|
entity |
| Predicate | majorMonasticTradition |
P12141
|
FINISHED |
| Object | Drukpa Kagyu |
—
|
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: Drukpa Kagyu | Statement: [Ladakhis, majorMonasticTradition, Drukpa Kagyu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorMonasticTradition Context triple: [Ladakhis, majorMonasticTradition, Drukpa Kagyu]
-
A.
monasticTradition
chosen
Indicates that an entity follows, belongs to, or is characterized by a particular monastic rule, lineage, or way of religious life.
-
B.
dominantMonasticOrders
Indicates that certain monastic orders hold primary influence, prevalence, or control within a given religious or geographic context.
-
C.
monasticTraditionFoundedInYear
Indicates that a particular monastic tradition was established or came into existence in a specified year.
-
D.
monasteryOrder
Indicates that a monastery belongs to, follows, or is affiliated with a particular religious order.
-
E.
monasteriesAre
Indicates that a subject is classified as, functions as, or is identified with monasteries.
- 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_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: April 29, 2026, 5:46 p.m.