Triple
T14282502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddhist socialism |
E354084
|
entity |
| Predicate | drawsOnConcept |
P531
|
FINISHED |
| Object | dāna |
—
|
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: dāna | Statement: [Buddhist socialism, drawsOnConcept, dāna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawsOnConcept Context triple: [Buddhist socialism, drawsOnConcept, dāna]
-
A.
draws
Indicates that one entity creates a visual representation or image of another entity.
-
B.
conceptualizedFor
Indicates that one entity has been conceived, designed, or mentally framed specifically for use, application, or relevance to another entity.
-
C.
exportsConcept
Indicates that one entity sends or supplies a concept, idea, or abstract knowledge resource from itself to another entity or context.
-
D.
hasConcept
chosen
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
E.
drawsLesson
Indicates that one entity derives or infers a lesson or conclusion from another entity or situation.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697d9fd08190b0cd7a6a6737ba03 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.