Triple

T7087246
Position Surface form Disambiguated ID Type / Status
Subject Canan Karatay E165106 entity
Predicate familyName P18 FINISHED
Object Karatay E449748 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: Karatay | Statement: [Canan Karatay, familyName, Karatay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karatay
Context triple: [Canan Karatay, familyName, Karatay]
  • A. Karatay chosen
    Karatay is a central district and municipality within Turkey’s Konya Province, known for its historical sites and role in the urban core of Konya city.
  • B. Ust-Koksa
    Ust-Koksa is a rural settlement in Russia’s Altai Republic, known as a gateway village for trekking and tourism in the Belukha Mountain region of the Altai Mountains.
  • C. Karakol
    Karakol is a town in eastern Kyrgyzstan near Lake Issyk-Kul, known as a gateway to the Tien Shan Mountains and a center for trekking and skiing.
  • D. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • E. Keban
    Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e513d9b08190a8a8d213c2264ce4 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c924ac88190a237d2e0ac505d51 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:41 p.m.