Triple
T29714462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadhal Rojave |
E751868
|
entity |
| Predicate | basedInFilmSettingRegion |
P171148
|
FINISHED |
| Object | Tamil Nadu |
—
|
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: Tamil Nadu | Statement: [Kadhal Rojave, basedInFilmSettingRegion, Tamil Nadu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInFilmSettingRegion Context triple: [Kadhal Rojave, basedInFilmSettingRegion, Tamil Nadu]
-
A.
primaryFilmingRegions
Indicates the main geographic areas where the filming or production of a work primarily took place.
-
B.
filmingRegions
chosen
Indicates the geographic areas or locations where the filming or production of a work takes place.
-
C.
countryOfFilming
Indicates the country where the filming or production of a work physically took place.
-
D.
filmRegion
Indicates the geographic region or market in which a film is released, distributed, or primarily associated.
-
E.
livesInFilmSetting
Indicates that an entity resides or exists within the fictional world or setting depicted in a particular film.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: April 28, 2026, 7:33 p.m.