Triple
T5007252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanada |
E112526
|
entity |
| Predicate | categoryConcept |
P60805
|
FINISHED |
| Object | dravya (substance) |
—
|
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: dravya (substance) | Statement: [Kanada, categoryConcept, dravya (substance)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryConcept Context triple: [Kanada, categoryConcept, dravya (substance)]
-
A.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
B.
categoryDefinedIn
Indicates that a category is formally specified or established within a particular source, context, or definitional framework.
-
C.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
D.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
-
E.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73089f548190834103366e24ab40 |
completed | March 20, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:35 p.m.