Triple

T13225931
Position Surface form Disambiguated ID Type / Status
Subject Japan Patent Office E314880 entity
Predicate abbreviation P43 FINISHED
Object JPO E384539 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: JPO | Statement: [Japan Patent Office, abbreviation, JPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JPO
Context triple: [Japan Patent Office, abbreviation, JPO]
  • A. JPO chosen
    JPO is an acronym commonly used for the Joint Program Office, a centralized organization that manages and oversees major joint military acquisition programs.
  • B. JPS
    JPS is the commonly used abbreviation for the Physical Society of Japan, a major academic organization dedicated to advancing physics research and education in Japan.
  • 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 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.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3128348190836158467e9cfbe2 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff28612c81909d4fe93b0e571deb completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:19 p.m.