Triple
T37937004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakya |
E946376
|
entity |
| Predicate | majorSchoolAlongside |
P109892
|
FINISHED |
| Object | Nyingma |
—
|
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: Nyingma | Statement: [Sakya, majorSchoolAlongside, Nyingma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorSchoolAlongside Context triple: [Sakya, majorSchoolAlongside, Nyingma]
-
A.
majorSchool
Indicates that one entity is the primary or most significant school or educational institution associated with another entity.
-
B.
otherMajorSchools
chosen
Indicates that an entity is associated with additional major schools beyond its primary or main school affiliation.
-
C.
servesAsAlmaMaterOf
Indicates that an educational institution is the alma mater of a person or entity, meaning they previously studied or graduated there.
-
D.
hasAffiliatedCollegesIn
Indicates that an institution maintains affiliated colleges located within a specified geographic area or jurisdiction.
-
E.
combinedSchool
Indicates that two or more schools have been merged or jointly organized into a single combined educational entity or program.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a002e71bdc48190b922f2d3b362d259 |
completed | May 10, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_6a002e1a28708190b65f9e657c770bab |
completed | May 10, 2026, 7:04 a.m. |
Created at: May 3, 2026, 4:20 p.m.