Triple
T38018429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dharmaguptaka |
E948555
|
entity |
| Predicate | statusInEastAsia |
P33417
|
FINISHED |
| Object | primary vinaya lineage for full ordination |
—
|
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: primary vinaya lineage for full ordination | Statement: [Dharmaguptaka, statusInEastAsia, primary vinaya lineage for full ordination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInEastAsia Context triple: [Dharmaguptaka, statusInEastAsia, primary vinaya lineage for full ordination]
-
A.
statusInJapan
Indicates the legal, social, or official standing or condition an entity holds specifically within the context of Japan.
-
B.
statusInTaiwan
Indicates the legal or social status that an entity holds specifically within the jurisdiction or context of Taiwan.
-
C.
statusInIndonesia
Indicates the legal, social, or operational standing or condition of an entity specifically within the context of Indonesia.
-
D.
statusInRegion
chosen
Indicates the specific status or condition an entity holds within a particular geographic or administrative region.
-
E.
statusInThailand
Indicates the legal, social, or official standing or condition an entity holds specifically within the context of Thailand.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fff9b126b4819085a4cf8791d388d1 |
completed | May 10, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69fff8f913a881908d3b7e490d92631f |
completed | May 10, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:20 p.m.