Triple

T3361284
Position Surface form Disambiguated ID Type / Status
Subject Dicle E70724 entity
Predicate hasMajorTributary P415 FINISHED
Object Greater Zab E68122 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: Greater Zab | Statement: [Dicle, hasMajorTributary, Greater Zab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Zab
Context triple: [Dicle, hasMajorTributary, Greater Zab]
  • A. Greater Zab chosen
    The Greater Zab is a major river in the Middle East that flows through Turkey and Iraq before joining the Tigris.
  • B. Diyala River
    The Diyala River is a significant river in eastern Iraq and western Iran that flows through the Zagros Mountains before joining the Tigris near Baghdad, supporting agriculture and settlements along its course.
  • C. Bidzhan River
    The Bidzhan River is a river in Russia’s Far East that flows through the Jewish Autonomous Oblast and serves as an important local waterway in the region.
  • D. Murghab River
    The Murghab River is a Central Asian river flowing through Afghanistan and Turkmenistan, historically vital for irrigation and the development of oasis settlements such as the city of Mary.
  • E. Zeravshan River
    The Zeravshan River is a major Central Asian waterway flowing through Tajikistan and Uzbekistan, historically vital for irrigation and the development of cities along the Silk Road.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb267ec1081909a4e3e227d5bad01 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3342fed748190814da1b968015d43 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.