Triple
T9476609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al bayrak |
E228531
|
entity |
| Predicate | nameInTurkish |
P15502
|
FINISHED |
| Object | Al bayrak |
E228531
|
NE 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: Al bayrak | Statement: [Al bayrak, nameInTurkish, Al bayrak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al bayrak Context triple: [Al bayrak, nameInTurkish, Al bayrak]
-
A.
Al bayrak
chosen
Al bayrak is the national flag of Turkey, featuring a white star and crescent on a red background.
-
B.
The Flag
"The Flag" is a lesser-known work associated with British actor Robert Shaw, who is best remembered for his roles in films like "Jaws," "From Russia with Love," and "The Sting."
-
C.
Flagg
Flagg is a surname most notably associated with American artist and illustrator James Montgomery Flagg, famed for creating the iconic "I Want YOU for U.S. Army" Uncle Sam poster.
-
D.
Flagg
Flagg is a sinister sorcerer and recurring villain in Stephen King’s works, notably serving as the manipulative antagonist in the fantasy novel "The Eyes of the Dragon."
-
E.
Bandeira
Bandeira is a Portuguese-language surname most notably associated with Brazilian poet Manuel Bandeira.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd80127744819082176b2d4417216e |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122dbd4948190af434d1e0a281f35 |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:54 p.m.