Triple
T11826682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Refuges |
E281275
|
entity |
| Predicate | recitationFormula |
P16913
|
FINISHED |
| Object | I take refuge in the Buddha |
—
|
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: I take refuge in the Buddha | Statement: [Three Refuges, recitationFormula, I take refuge in the Buddha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitationFormula Context triple: [Three Refuges, recitationFormula, I take refuge in the Buddha]
-
A.
recitesFormula
chosen
Indicates that one entity verbally or mentally repeats a specific formula, such as a set phrase, equation, or ritual wording, typically from memory.
-
B.
recitationForm
Indicates the specific manner, style, or format in which something is recited or orally presented.
-
C.
recitationCustom
Indicates that one entity performs or delivers a recitation in a customized or non-standard manner for another entity or context.
-
D.
recitationScience
Indicates a relationship where an entity performs or participates in a recitation activity specifically related to science.
-
E.
recitationRecommended
Indicates that a particular recitation session or section is recommended for an entity, such as a student or course.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ec3a148190bb184ba0d481b16a |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.