Triple
T11832434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heart Sutra |
E281425
|
entity |
| Predicate | teachesNegationOf |
P26929
|
FINISHED |
| Object | five aggregates as inherently existing |
—
|
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: five aggregates as inherently existing | Statement: [Heart Sutra, teachesNegationOf, five aggregates as inherently existing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesNegationOf Context triple: [Heart Sutra, teachesNegationOf, five aggregates as inherently existing]
-
A.
negates
chosen
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
-
B.
negativeFormulation
Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
-
C.
negativeAcknowledgmentCharacter
Indicates that one character responds with disagreement, refusal, or denial to another character’s statement, request, or action.
-
D.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
E.
negativeType
Indicates that one entity is classified as a negative, undesirable, or disfavored type in relation to another or within a given context.
- 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_69d8a62c95988190a45dbaa7001c8846 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.