Triple

T10179165
Position Surface form Disambiguated ID Type / Status
Subject Jayhun E235938 entity
Predicate contrastedWith P278 FINISHED
Object Sayhun E800941 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: Sayhun | Statement: [Jayhun, contrastedWith, Sayhun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sayhun
Context triple: [Jayhun, contrastedWith, Sayhun]
  • A. Sayhun chosen
    Sayhun is an alternative transliteration of the name Seyhun, which is often associated with the historical Jaxartes/Syr Darya river region in Central Asia.
  • B. Sarlamkai
    Sarlamkai is a traditional Mizo war dance characterized by vigorous movements that depict battle scenes and warrior spirit.
  • C. S'Yan
    S'Yan is a former king of Wakanda and uncle to T'Challa in Marvel Comics' Black Panther mythos.
  • D. Huwara
    Huwara is a Palestinian town in the central West Bank, located south of Nablus along a major north–south roadway and often noted as a flashpoint in the Israeli–Palestinian conflict.
  • E. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd7ed608190bfdec8b61cc99205 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3012d11488190a410d389034da887 completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.