Triple

T11517822
Position Surface form Disambiguated ID Type / Status
Subject Kenjirō E273076 entity
Predicate nameComponent P5298 FINISHED
Object jirō E529614 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: jirō | Statement: [Kenjirō, nameComponent, jirō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: jirō
Context triple: [Kenjirō, nameComponent, jirō]
  • A. Ji
    Ji was an ancient Chinese city that served as the political and cultural center of the State of Yan during the Zhou dynasty period.
  • B. Ji
    Ji is the ancestral clan name of the royal house of the Zhou dynasty in ancient China.
  • C. JRO
    JRO is the IATA airport code for Kilimanjaro International Airport, a major gateway to northern Tanzania and Mount Kilimanjaro.
  • D. Jiro chosen
    Jiro is a masculine Japanese given name commonly associated with notable figures in Japanese culture, including engineers, artists, and fictional characters.
  • E. JI
    JI is the IATA airline designator assigned to Meraj Airlines, an Iranian passenger carrier.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62530a6b08190a8ba3c410e79cf72 completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:36 p.m.