Triple
T31965812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Temple of the Grail |
E816171
|
entity |
| Predicate | countryInFilmSetting |
P10686
|
FINISHED |
| Object | Republic of Hatay |
—
|
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: Republic of Hatay | Statement: [The Temple of the Grail, countryInFilmSetting, Republic of Hatay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryInFilmSetting Context triple: [The Temple of the Grail, countryInFilmSetting, Republic of Hatay]
-
A.
countryOfFilming
Indicates the country where the filming or production of a work physically took place.
-
B.
countryOfSetting
chosen
Indicates the country in which the setting or context of something (such as a story, event, or work) takes place.
-
C.
filmingCountry
Indicates the country where the filming or primary production of a work took place.
-
D.
countryOfCinematicActivity
Indicates the country in which a person or entity is primarily active or recognized in the field of cinema.
-
E.
countryOfFilmFeaturingSong
Indicates the country associated with the film in which a given song is featured.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a001540d4f881908a4688881875e774 |
completed | May 10, 2026, 5:18 a.m. |
| PD | Predicate disambiguation | batch_6a0014a8cdd88190a67a90a2df2c5e18 |
completed | May 10, 2026, 5:16 a.m. |
Created at: May 1, 2026, 12:09 a.m.