Triple
T8773124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalaripayattu |
E208512
|
entity |
| Predicate | hasTrainingPlace |
P9852
|
FINISHED |
| Object | kalari |
—
|
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: kalari | Statement: [Kalaripayattu, hasTrainingPlace, kalari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainingPlace Context triple: [Kalaripayattu, hasTrainingPlace, kalari]
-
A.
trainingInstitution
Indicates that one entity serves as the institution or organization where another entity receives training or education.
-
B.
hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
-
C.
trainingLocationType
Indicates the type or category of place where a training activity occurs.
-
D.
trainingFacilityLocation
chosen
Indicates the place or site where a training facility is situated or operates.
-
E.
hasTrainingComplex
Indicates that an entity possesses or is associated with a dedicated facility or complex used for training activities.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2dc87c8190be0597a260d95a0b |
completed | March 31, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:41 p.m.