Triple
T26392066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ika |
E663437
|
entity |
| Predicate | workFilmSettingLocation |
P52439
|
FINISHED |
| Object | prehistoric Europe |
—
|
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: prehistoric Europe | Statement: [Ika, workFilmSettingLocation, prehistoric Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workFilmSettingLocation Context triple: [Ika, workFilmSettingLocation, prehistoric Europe]
-
A.
filmLocationFor
Indicates a relationship where a specific place serves as the filming location for a particular film or production.
-
B.
filmingLocationContext
Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
-
C.
filmSetting
chosen
Indicates the place, time, or environment in which the events of a film are set or take place.
-
D.
filmingLocationForAdaptation
Indicates the place where an adaptation (such as a film or TV version of a work) was shot or recorded.
-
E.
placeOfShooting
Indicates the location where a shooting event took place.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 11:26 p.m.