Triple
T5086838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prabhakara school |
E114657
|
entity |
| Predicate | rivalSchool |
P14804
|
FINISHED |
| Object | Kumarila Bhatta school |
—
|
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: Kumarila Bhatta school | Statement: [Prabhakara school, rivalSchool, Kumarila Bhatta school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rivalSchool Context triple: [Prabhakara school, rivalSchool, Kumarila Bhatta school]
-
A.
rivalInstitution
chosen
Indicates that one institution is in a state of competition or opposition with another institution.
-
B.
rivalTeam
Indicates that one team is in a competitive or adversarial relationship with another team, often vying for superiority or dominance.
-
C.
conferenceRivalry
Indicates a competitive or adversarial relationship between entities that belong to the same conference or organized grouping.
-
D.
rivalOf
Indicates a relationship in which two entities compete against or oppose each other, often seeking advantage in the same domain or objective.
-
E.
campusDistanceBetweenRivals
Indicates the physical distance separating the campuses of two rival institutions.
- 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.