Triple

T2939834
Position Surface form Disambiguated ID Type / Status
Subject Turkmenabat E79357 entity
Predicate riverPortOn P528 FINISHED
Object Amu Darya E43947 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: Amu Darya | Statement: [Turkmenabat, riverPortOn, Amu Darya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amu Darya
Context triple: [Turkmenabat, riverPortOn, Amu Darya]
  • A. Amu Darya chosen
    The Amu Darya is one of Central Asia’s largest and most historically significant rivers, flowing from the Pamir and Hindu Kush mountains toward the Aral Sea.
  • B. Syr Darya
    Syr Darya is a major river in Central Asia that flows through countries such as Kyrgyzstan, Uzbekistan, and Kazakhstan before emptying into the remnants of the Aral Sea.
  • C. Oxus River
    The Oxus River, historically known as the Amu Darya, is a major river of Central Asia that has long served as a crucial geographic and cultural boundary between regions such as Persia, Central Asia, and the Indian subcontinent.
  • D. Enisei
    Enisei is an alternative name for the Yenisei River, one of the longest and most significant rivers in Siberia that flows into the Arctic Ocean.
  • E. Bolshaya Almatinka River
    The Bolshaya Almatinka River is a mountain river in southeastern Kazakhstan that flows through the city of Almaty, supplying it with water and shaping its surrounding landscapes.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986d9a248190927efc1a0c7d247f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108d4e5408190a0dd3728c5cf6a47 completed March 11, 2026, 6:16 a.m.
Created at: March 8, 2026, 2:56 p.m.