Triple

T10339341
Position Surface form Disambiguated ID Type / Status
Subject Mardik Martin E243087 entity
Predicate placeOfBirth P1 FINISHED
Object Abadan E344295 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: Abadan | Statement: [Mardik Martin, placeOfBirth, Abadan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abadan
Context triple: [Mardik Martin, placeOfBirth, Abadan]
  • A. Abadan chosen
    Abadan is a port city in southwestern Iran, located on an island near the Persian Gulf and known for its major oil refinery and strategic position along the Shatt al-Arab waterway.
  • B. Qom River
    The Qom River is a significant river in central Iran that flows through the city of Qom and contributes to the region’s agriculture and water supply.
  • C. Sefid-Rud
    Sefid-Rud is a major river in northern Iran that flows through the Alborz Mountains and into the Caspian Sea, playing a key role in regional agriculture and hydropower.
  • D. Karaj River
    The Karaj River is a major river in northern Iran that flows through Alborz Province and supplies water and hydroelectric power to the Tehran region.
  • E. Zayandeh River
    The Zayandeh River is a major river in central Iran that flows through the city of Isfahan, historically supporting its agriculture, architecture, and famous bridges.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a470948190959f298dd6110bf3 completed April 7, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79508427c81909db511e969bc9ddb completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:54 a.m.