Triple

T13209164
Position Surface form Disambiguated ID Type / Status
Subject Chardzhev E314441 entity
Predicate appliesTo P1129 FINISHED
Object city of Turkmenabat E800933 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: city of Turkmenabat | Statement: [Chardzhev, appliesTo, city of Turkmenabat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Turkmenabat
Context triple: [Chardzhev, appliesTo, city of Turkmenabat]
  • A. Turkmenabat
    Turkmenabat is one of the largest cities in Turkmenistan, serving as an important industrial, transport, and cultural center in the country’s east near the border with Uzbekistan.
  • B. Türkmenabat chosen
    Türkmenabat is a major city in eastern Turkmenistan, serving as an important industrial, transport, and agricultural center near the border with Uzbekistan.
  • C. Jabrayil
    Jabrayil is a town in southwestern Azerbaijan that became a key strategic location and symbol of territorial gains during the 2020 Nagorno-Karabakh war.
  • D. Goychay
    Goychay is a town in central Azerbaijan known today as the administrative center of the Goychay District and for its pomegranate cultivation and annual pomegranate festival.
  • E. Dilijan
    Dilijan is a picturesque spa town in Armenia’s Tavush Province, known for its forested landscapes, traditional architecture, and proximity to Dilijan National Park.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9e072c8190b66e2c2430628ed0 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.