Triple
T11988822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malatya Province |
E285351
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Malatya |
E1016936
|
NE FINISHED |
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: Malatya | Statement: [Malatya Province, hasCity, Malatya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malatya Context triple: [Malatya Province, hasCity, Malatya]
-
A.
Malatya
chosen
Malatya is a major city in eastern Turkey known for its apricot production and role as a regional economic and cultural center.
-
B.
Kilis
Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
-
C.
Cizre
Cizre is a historic town in southeastern Turkey near the Syrian and Iraqi borders, known as a cultural and commercial center of the Upper Mesopotamian region.
-
D.
Yüreğir
Yüreğir is a metropolitan district and municipality of Adana Province in southern Turkey, located on the eastern bank of the Seyhan River and forming part of the city of Adana.
-
E.
Karabük
Karabük is an industrial city in northern Turkey best known for its historic iron and steel industry and its proximity to the UNESCO-listed Ottoman town of Safranbolu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e2548a848190a3a72415a5e4d0fd |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 8, 2026, 9:46 p.m.