Triple
T5086879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhatta school |
E114658
|
entity |
| Predicate | holdsViewOn |
P33440
|
FINISHED |
| Object | sentence-meaning (vakya-artha) |
—
|
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: sentence-meaning (vakya-artha) | Statement: [Bhatta school, holdsViewOn, sentence-meaning (vakya-artha)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsViewOn Context triple: [Bhatta school, holdsViewOn, sentence-meaning (vakya-artha)]
-
A.
viewHeldBy
chosen
Indicates that a particular view, perspective, or opinion is possessed, maintained, or endorsed by a specific entity.
-
B.
expressesViewOn
Indicates that one entity communicates or holds an opinion, stance, or perspective regarding another entity or topic.
-
C.
holdsIn
Indicates that a relationship, condition, or event is valid or occurs within a specified time interval or temporal context.
-
D.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
E.
heldAs
Indicates that one entity is kept, maintained, or regarded in a particular state, role, or condition by another entity.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd751fb6dc8190be674c92a17e8c0e |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.