Triple
T16940688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artuqid dynasty |
E410941
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Diyarbakır |
—
|
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: Diyarbakır | Statement: [Artuqid dynasty, capital, Diyarbakır]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diyarbakır Context triple: [Artuqid dynasty, capital, Diyarbakır]
-
A.
Diyarbakır
chosen
Diyarbakır is a major historic city in southeastern Turkey, renowned for its extensive black basalt city walls and rich Kurdish and Mesopotamian heritage.
-
B.
Gaziantep
Gaziantep is a major city in southeastern Turkey known for its rich history, cultural heritage, and renowned pistachio-based cuisine, especially baklava.
-
C.
Şanlıurfa
Şanlıurfa is a historic city in southeastern Turkey, traditionally identified with the ancient city of Edessa and renowned for its rich religious and cultural 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.
Adıyaman
Adıyaman is a city in southeastern Turkey known for its proximity to the UNESCO-listed Mount Nemrut and its role as a regional cultural and economic center.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfacdbc48190988ac259712bb9e8 |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:31 a.m.