Triple
T11826060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Arya Truths |
E281262
|
entity |
| Predicate | fourthTruthName |
P101703
|
FINISHED |
| Object | magga |
—
|
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: magga | Statement: [Four Arya Truths, fourthTruthName, magga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthTruthName Context triple: [Four Arya Truths, fourthTruthName, magga]
-
A.
fourthSingle
Indicates that an entity is the fourth individual item or occurrence in a sequence, considered on its own rather than as part of a group.
-
B.
fourthPrecept
Indicates the relationship in which an entity adheres to or is associated with the fourth precept, typically the moral rule against sexual misconduct.
-
C.
fourthGenerationName
Indicates that the object is the name assigned to an entity in the fourth generation of a lineage or sequence relative to the subject.
-
D.
fourthFilm
Indicates that one film is the fourth installment in a sequence or series of films related to another entity.
-
E.
fourthLevelRepresents
Indicates that one entity serves as a fourth-level representation or abstraction of another within a hierarchical structure.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5eb299481909de3c0e85628fbe4 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.