Triple
T35297202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lao Buddhism |
E1019404
|
entity |
| Predicate | majoritySchool |
P200189
|
FINISHED |
| Object | Theravada |
—
|
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: Theravada | Statement: [Lao Buddhism, majoritySchool, Theravada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majoritySchool Context triple: [Lao Buddhism, majoritySchool, Theravada]
-
A.
majorityType
Indicates that one type or category constitutes more than half of the instances within a given set or context.
-
B.
majorityOpinion
Indicates that a particular opinion is held by more than half of the relevant group or decision-making body.
-
C.
majorSchool
Indicates that one entity is the primary or most significant school or educational institution associated with another entity.
-
D.
majorityVote
Indicates that a decision or outcome is determined by the option receiving more than half of the votes among a group.
-
E.
mainSchool
Indicates that one school is the primary or most important school associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
| PDg | Predicate description generation | batch_69ff79e645c08190a974b5239efac35b |
completed | May 9, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.