Triple
T32851485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khedrup Je |
E840263
|
entity |
| Predicate | helpedSystematize |
P58665
|
FINISHED |
| Object | Gelug teachings |
—
|
LITERAL FINISHED |
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: Gelug teachings | Statement: [Khedrup Je, helpedSystematize, Gelug teachings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedSystematize Context triple: [Khedrup Je, helpedSystematize, Gelug teachings]
-
A.
systematic
Indicates that an action or process is carried out according to an organized, methodical, and consistent system or plan.
-
B.
systematicallyPresents
Indicates that one entity presents or displays another in an organized, methodical, and structured manner.
-
C.
helpedImpose
Indicates that one entity assisted or contributed to another entity’s act of enforcing, establishing, or placing a rule, condition, or burden on something or someone.
-
D.
textuallySystematizedBy
chosen
Indicates that information, concepts, or data are organized, structured, or codified into a systematic textual form by a particular agent or source.
-
E.
helpsIn
Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:17 a.m.