Triple

T4876779
Position Surface form Disambiguated ID Type / Status
Subject Ishi E109223 entity
Predicate ethnicity P194 FINISHED
Object Yahi E109223 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: Yahi | Statement: [Ishi, ethnicity, Yahi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahi
Context triple: [Ishi, ethnicity, Yahi]
  • A. Yahi chosen
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • B. Yakhin
    Yakhin is a variant form of the biblical name Jachin, traditionally associated with one of the two pillars of Solomon’s Temple.
  • C. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • D. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • E. Haruna
    Haruna was a Japanese Kongō-class fast battleship that served in the Imperial Japanese Navy during both World Wars and saw extensive action in the Pacific Theater.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dbbc734819083b28a022e5690d6 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fb5da2c8190aeec7d6d11b12b11 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:27 p.m.