Triple
T25490312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chingam |
E638819
|
entity |
| Predicate | marksSeasonOf |
P158594
|
FINISHED |
| Object | Onam |
—
|
NE NERFINISHED |
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: Onam | Statement: [Chingam, marksSeasonOf, Onam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marksSeasonOf Context triple: [Chingam, marksSeasonOf, Onam]
-
A.
sportSeasonOf
Indicates that one entity is a sports season that belongs to, or is part of, the overall history or schedule of the specified sport.
-
B.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
-
C.
seasonLabel
Indicates the specific season (e.g., spring, summer, fall, winter, or a numbered TV season) associated with an entity.
-
D.
formedSeason
Indicates that an entity came into existence, was created, or was established during a specific season.
-
E.
wonSeasonOf
Indicates that one entity emerged as the overall winner of a particular season of a competition, show, or series involving 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7a4658081908758aa293923090d |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:38 p.m.