Triple
T20649413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beylik of Eretna |
E507446
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Sivas |
—
|
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: Sivas | Statement: [Beylik of Eretna, majorCity, Sivas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sivas Context triple: [Beylik of Eretna, majorCity, Sivas]
-
A.
Sivas
chosen
Sivas is a historic city in central Turkey that served as an important political, commercial, and cultural center in Anatolia, especially during the Seljuk and Ottoman periods.
-
B.
Elazığ
Elazığ is a city in eastern Turkey known as a regional center near the Euphrates River and the Keban Dam, with a history shaped by both ancient civilizations and modern development.
-
C.
Diyarbekir
Diyarbekir is a historic city in southeastern Turkey, widely known today as Diyarbakır and notable for its ancient basalt city walls and rich Kurdish and Ottoman heritage.
-
D.
Muş
Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
-
E.
Kilis
Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af2076b48190b9c8afb4eac65f46 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.