Triple
T16936626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Competition |
E410844
|
entity |
| Predicate | languageOfMajorityFilms |
P109454
|
FINISHED |
| Object | Turkish |
—
|
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: Turkish | Statement: [National Competition, languageOfMajorityFilms, Turkish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMajorityFilms Context triple: [National Competition, languageOfMajorityFilms, Turkish]
-
A.
filmedInLanguage
Indicates that a film or video work was originally recorded using a particular spoken or signed language.
-
B.
languageOfMajorityEligibleWorks
chosen
Indicates the primary language in which most of the qualifying or eligible works in a given set are produced or available.
-
C.
areSpokenIn
Indicates that a particular language is used as a spoken means of communication within a specified region, community, or context.
-
D.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
E.
notableLanguageOfEligibleFilms
Indicates that there is a notable language associated with the set of films that qualify as eligible under a given criterion or program.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2a05f48190a0a8ac86985f4000 |
completed | April 18, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.