Triple

T10655170
Position Surface form Disambiguated ID Type / Status
Subject Hekimhan E251068 entity
Predicate hasProvinceCapital P3433 FINISHED
Object Malatya E285351 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: [Hekimhan, hasProvinceCapital, Malatya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malatya
Context triple: [Hekimhan, hasProvinceCapital, Malatya]
  • A. Kilis
    Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
  • B. 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.
  • C. 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.
  • D. Malatya Province chosen
    Malatya Province is a region in eastern Turkey known for its apricot production and as the birthplace of several notable Turkish figures.
  • E. Amasya
    Amasya is a historic city in northern Turkey, renowned for its Ottoman-era architecture, rock tombs of Pontic kings, and scenic setting along the Yeşilırmak River.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dff94c188190b1a822c3720d18b7 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e877c6188190817fb30f2c9a07bf completed April 20, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:06 p.m.