Triple

T3049639
Position Surface form Disambiguated ID Type / Status
Subject ANPP E83535 entity
Predicate abbreviation P43 FINISHED
Object ANPP E83535 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: ANPP | Statement: [ANPP, abbreviation, ANPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANPP
Context triple: [ANPP, abbreviation, ANPP]
  • A. ANPP chosen
    ANPP is the acronym for Cuba’s unicameral national legislature, the National Assembly of People’s Power.
  • B. ANP
    ANP is the national police force of Afghanistan responsible for law enforcement, public order, and internal security across the country.
  • C. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • D. NPP
    NPP is a U.S. Earth-observing environmental satellite that serves as a bridge between NASA’s Earth Observing System missions and the operational weather satellites of NOAA.
  • E. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bb00a348190877c9cbf0f13cba4 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f86f538481908e3e9c286e4fb676 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:01 p.m.