Triple
T22321596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beylik of Aydın |
E551799
|
entity |
| Predicate | notableCity |
P2813
|
FINISHED |
| Object | Birgi |
—
|
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: Birgi | Statement: [Beylik of Aydın, notableCity, Birgi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birgi Context triple: [Beylik of Aydın, notableCity, Birgi]
-
A.
Birgi
chosen
Birgi is a historic town in western Anatolia, Turkey, known for its well-preserved Ottoman and Seljuk architecture and its past prominence as a regional political and cultural center.
-
B.
Birgi
Birgi is a small village in western Sicily, Italy, known for its proximity to Trapani–Birgi Airport and the coastal city of Trapani.
-
C.
Bürsin
Bürsin is a Turkish surname most notably borne by actor Kerem Bürsin.
-
D.
Birgid
Birgid is an extinct Nubian language that was once spoken in parts of western Sudan.
-
E.
Babadag
Babadag is a small town in southeastern Romania known for its historical Ottoman influences and proximity to the Danube Delta.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15764d3a48190af79ce4642b7f563 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.