Triple

T11739324
Position Surface form Disambiguated ID Type / Status
Subject Jayaprakash Narayan E279110 entity
Predicate alsoKnownAs P39 FINISHED
Object JP E279110 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: JP | Statement: [Jayaprakash Narayan, alsoKnownAs, JP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JP
Context triple: [Jayaprakash Narayan, alsoKnownAs, JP]
  • A. JP chosen
    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.
  • B. JP
    JP is the two-letter IATA airline designator that was assigned to the former Slovenian national carrier Adria Airways.
  • C. JP
    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.
  • D. JPN
    JPN is the official FIFA trigramme used to represent the Japan women's national football team in international competitions and records.
  • E. JA
    JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f025f88190a39280806c9d7c33 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019c339cc81909967ecfa234e4ab8 completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:41 p.m.