Triple

T20377303
Position Surface form Disambiguated ID Type / Status
Subject PEG E497725 entity
Predicate associatedWithCityCode P6089 FINISHED
Object PEG NE NERFINISHED

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: PEG | Statement: [PEG, associatedWithCityCode, PEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEG
Context triple: [PEG, associatedWithCityCode, PEG]
  • A. PEG
    PEG is a German vehicle registration code assigned to the Bayreuth district region.
  • B. PEG
    PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
  • C. PEG chosen
    PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
  • D. PDG
    PDG is the abbreviation for the Parliament of the German-speaking Community in Belgium, the legislative body representing the country’s German-speaking minority.
  • E. PDG
    PDG is the IATA airport code for Minangkabau International Airport serving Padang in West Sumatra, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678ad74348190ac57d38eaa56beb3 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.