Triple

T8701741
Position Surface form Disambiguated ID Type / Status
Subject 2nd Army of Turkey E206547 entity
Predicate garrisonLocation P40 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: [2nd Army of Turkey, garrisonLocation, Malatya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malatya
Context triple: [2nd Army of Turkey, garrisonLocation, 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b38cf88190bfdcbac9c340cb96 completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d09b22da4c81909aacc9c4a6af379c completed April 4, 2026, 5:01 a.m.
Created at: March 30, 2026, 6:34 p.m.