Triple

T10330500
Position Surface form Disambiguated ID Type / Status
Subject Patent Advisory Group E242859 entity
Predicate shortName P43 FINISHED
Object PAG E384101 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: PAG | Statement: [Patent Advisory Group, shortName, PAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PAG
Context triple: [Patent Advisory Group, shortName, PAG]
  • A. PAG chosen
    PAG is the stock ticker and common abbreviation for Penske Automotive Group, a large international transportation services company specializing in automotive and commercial truck dealerships.
  • B. Pagasae
    Pagasae was an ancient coastal city and harbor in Thessaly, Greece, known as a key port on the Pagasetic Gulf in classical antiquity.
  • C. Pag
    Pag is a Croatian Adriatic island known for its barren, moonlike landscape, distinctive sheep’s milk cheese, and historic lace-making tradition.
  • D. PAP
    PAP is the legislative body of the African Union that aims to promote democracy, human rights, and integration across African states.
  • E. PAP
    PAP is the IATA airport code for Toussaint Louverture International Airport, the main international gateway serving Port-au-Prince, Haiti.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fb77348190ac8ff887f6f03450 completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71dbc7df48190b8a11a92f946fd30 completed April 9, 2026, 3:32 a.m.
Created at: April 6, 2026, 11:52 a.m.