Triple

T7847382
Position Surface form Disambiguated ID Type / Status
Subject PPA 2006 E181955 entity
Predicate abbreviation P43 FINISHED
Object PPA E508566 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: PPA | Statement: [PPA 2006, abbreviation, PPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PPA
Context triple: [PPA 2006, abbreviation, PPA]
  • A. PPA chosen
    PPA is a regional organization that brings together electric power utilities and related stakeholders across Pacific Island countries to promote cooperation, capacity building, and sustainable energy development.
  • B. PPA
    PPA is a U.S. federal law that regulates the importation, movement, and release of plants and related materials to protect agriculture and the environment from pests and diseases.
  • C. PAA
    PAA was the ICAO airline designator for Pan American World Airways, the pioneering and once-dominant international airline of the United States.
  • D. PPS
    PPS is the commonly used abbreviation for Parliamentary Private Secretaries, who are junior MPs acting as unpaid assistants and political aides to government ministers in the UK.
  • E. PPA 2006
    PPA 2006 is a U.S. federal law that overhauled pension funding rules and strengthened protections for workers’ retirement benefits.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb164105fc8190a60aaa27dd619d5a completed March 31, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5afbb02481909008eb295c4825c1 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:49 p.m.