Triple

T20919835
Position Surface form Disambiguated ID Type / Status
Subject Nakama E515175 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object JP NE NERFINISHED

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: JP | Statement: [Nakama, ISO3166-1Alpha2, JP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JP
Context triple: [Nakama, ISO3166-1Alpha2, JP]
  • A. JP chosen
    JP is the ISO 3166-1 alpha-2 country code for Japan, an East Asian island nation known for its advanced technology, rich culture, and major global economic influence.
  • B. JP
    JP is the official Indian Railways station code for Jaipur Junction, a major railway hub in the city of Jaipur, Rajasthan.
  • C. JP
    JP is the popular abbreviation for Jayaprakash Narayan, an Indian independence activist and political leader known for spearheading the 1970s "Total Revolution" movement against corruption and authoritarianism.
  • D. JP
    JP is the two-letter IATA airline designator that was assigned to the former Slovenian national carrier Adria Airways.
  • E. JP
    JP is the common abbreviation for Juventud Peronista, the youth wing of Argentina’s Peronist political movement.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec677338819081410cbaa2846260 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.