Triple
T9476604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ay yıldız |
E228530
|
entity |
| Predicate | transliteration |
P2508
|
FINISHED |
| Object | ay yildiz |
E228530
|
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: ay yildiz | Statement: [Ay yıldız, transliteration, ay yildiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ay yildiz Context triple: [Ay yıldız, transliteration, ay yildiz]
-
A.
Ay yıldız
chosen
Ay yıldız is the crescent-and-star emblem that serves as the central symbol of the Turkish national flag and a broader icon of Turkey.
-
B.
Yıldız
Yıldız is a Turkish feminine given name meaning "star," commonly used in Turkey and among Turkish-speaking communities.
-
C.
Yazgulyam
Yazgulyam is a rare and highly conservative Eastern Iranian language spoken in the Yazgulyam Valley of Tajikistan.
-
D.
Yillah
Yillah is a mysterious, ethereal woman who serves as a symbolic and spiritual figure in Herman Melville’s novel "Mardi."
-
E.
Gayet
Gayet is a French actress and film producer known for her work in cinema and television, as well as her high-profile relationship with former French president François Hollande.
- 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.