Triple

T9712122
Position Surface form Disambiguated ID Type / Status
Subject Yan (surname) E235045 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Yam E196863 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: Yam | Statement: [Yan (surname), hasVariantTransliteration, Yam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yam
Context triple: [Yan (surname), hasVariantTransliteration, Yam]
  • A. Yam chosen
    Yam is the ancient Canaanite and Phoenician god of the sea, often depicted as a primordial chaos deity and rival of the storm god Baal.
  • B. Taro
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • C. Taro
    The Taro is a river in northern Italy that flows through the Emilia-Romagna region and ultimately joins the Po River.
  • D. Yam Dwitiya
    Yam Dwitiya is a Hindu festival, observed on the second day of the bright fortnight of Kartik, that celebrates the bond between brothers and sisters through the worship of the god Yama and his sister Yamuna.
  • E. Rice
    Rice is a common English surname borne by various notable individuals across politics, sports, and entertainment.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0705f8819095852263009c28c5 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8c26dc8190a6fa21bde27ba6fa completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.