Triple
T22680199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleppo Eyalet |
E560458
|
entity |
| Predicate | governedBy |
P46
|
FINISHED |
| Object | Beylerbey |
—
|
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: Beylerbey | Statement: [Aleppo Eyalet, governedBy, Beylerbey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beylerbey Context triple: [Aleppo Eyalet, governedBy, Beylerbey]
-
A.
Beylerbey
chosen
Beylerbey was a high-ranking provincial governor and military commander in the Ottoman Empire, overseeing large administrative regions and their armed forces.
-
B.
Baskil
Baskil is a town and district in eastern Turkey known for its location within Elazığ Province and its predominantly rural, agricultural character.
-
C.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
D.
Tugay Bey
Tugay Bey was a prominent Crimean Tatar military leader and noble who played a key role in 17th-century conflicts between the Polish–Lithuanian Commonwealth and the Cossacks.
-
E.
Şahinbey
Şahinbey is a central district and municipality of Gaziantep in southeastern Turkey, known as a major urban and commercial area of the city.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785f68b4819082c5570f741f5135 |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:11 p.m.