Triple
T37733458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Buddhist Council |
E940219
|
entity |
| Predicate | sequenceInBuddhistCouncils |
P188982
|
FINISHED |
| Object | first |
—
|
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: first | Statement: [First Buddhist Council, sequenceInBuddhistCouncils, first]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceInBuddhistCouncils Context triple: [First Buddhist Council, sequenceInBuddhistCouncils, first]
-
A.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
B.
eraSequenceWithinDynasty
Indicates that one historical era occurs in a specific ordered position relative to another era within the same dynasty.
-
C.
associatedSampradaya
Indicates a relationship where one entity is linked or connected to a particular sampradaya (spiritual or religious tradition/lineage) with which it is affiliated or identified.
-
D.
isLargestBuddhistOrderIn
Indicates that a Buddhist order is the largest such organization within a specified geographic or political region.
-
E.
charDhamSequence
Indicates the ordered sequence or prescribed visiting order among the Char Dham pilgrimage sites.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.