Triple
T22864815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanjaagiin Bayar |
E567022
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bayar |
—
|
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: Bayar | Statement: [Sanjaagiin Bayar, givenName, Bayar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayar Context triple: [Sanjaagiin Bayar, givenName, Bayar]
-
A.
Bayar
chosen
Bayar is a Turkish surname most prominently associated with Celâl Bayar, the third President of Turkey and a key political figure in the early Turkish Republic.
-
B.
Paguate
Paguate is a small Native American community associated with the Laguna Pueblo in New Mexico.
-
C.
Pagos
Pagos is the ancient name of Kadifekale, a historic hilltop fortress overlooking the city of İzmir in western Turkey.
-
D.
Payns
Payns is a small commune in the Aube department of north-central France, historically notable as the birthplace of Hugues de Payens, co-founder and first Grand Master of the Knights Templar.
-
E.
La Paya
La Paya is an important pre-Columbian archaeological site in northwest Argentina associated with the Calchaquí culture, known for its extensive ruins and artifacts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17effd93081909f2c9a8857a8728b |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.