Triple
T35514640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eternal Shakyamuni Buddha |
E1026381
|
entity |
| Predicate | revealedInChapter |
P38401
|
FINISHED |
| Object | Lotus Sutra Chapter 16 |
—
|
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: Lotus Sutra Chapter 16 | Statement: [Eternal Shakyamuni Buddha, revealedInChapter, Lotus Sutra Chapter 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revealedInChapter Context triple: [Eternal Shakyamuni Buddha, revealedInChapter, Lotus Sutra Chapter 16]
-
A.
foundInChapter
Indicates that something (such as a concept, section, or element) is contained within or occurs in a specific chapter.
-
B.
isRevealedIn
chosen
Indicates that something becomes known, disclosed, or made apparent within a particular context, medium, or situation.
-
C.
seatOfChapter
Indicates that a location serves as the official meeting place or headquarters for a specific chapter (such as a local branch of an organization).
-
D.
appearsInBookNumber
Indicates that an entity is featured or mentioned in a specific book identified by its number within a series or collection.
-
E.
basedOnChapter
Indicates that something (such as a work, section, or element) is derived from, adapted from, or primarily informed by a specific chapter.
- 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_69f76dfd61208190b93ec6dc439cab41 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.