Triple

T13456366
Position Surface form Disambiguated ID Type / Status
Subject Çärjew E311243 entity
Predicate nameChangedTo P5948 FINISHED
Object Türkmenabat 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: Türkmenabat | Statement: [Çärjew, nameChangedTo, Türkmenabat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Türkmenabat
Context triple: [Çärjew, nameChangedTo, Türkmenabat]
  • A. Türkmenabat chosen
    Türkmenabat is a major city in eastern Turkmenistan, serving as an important industrial, transport, and agricultural center near the border with Uzbekistan.
  • B. Türkmenbaşy
    Türkmenbaşy is a port city in western Turkmenistan on the Caspian Sea, serving as a key hub for maritime trade and regional transport.
  • C. Bazar-Korgon
    Bazar-Korgon is a town in southwestern Kyrgyzstan, known as a local administrative and market center in the Jalal-Abad Region.
  • D. Termez
    Termez is a historic city in southern Uzbekistan near the Afghan border, known as an important cultural and trade center along the ancient Silk Road.
  • E. Dashoguz
    Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83382e88190bfb229f9bab59b17 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:41 p.m.