Triple

T20685666
Position Surface form Disambiguated ID Type / Status
Subject WADD E508408 entity
Predicate associatedIATAcode P2569 FINISHED
Object DPS 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: DPS | Statement: [WADD, associatedIATAcode, DPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DPS
Context triple: [WADD, associatedIATAcode, DPS]
  • A. DPS
    DPS is the commonly used abbreviation for the Division for Planetary Sciences, a major professional organization focused on the study of planets, moons, and other bodies in the solar system and beyond.
  • B. DPS
    DPS is a major Montenegrin political party that dominated the country’s politics for decades following the breakup of Yugoslavia.
  • C. DPS
    DPS is the Alaska Department of Public Safety, the statewide agency responsible for law enforcement, public safety services, and related regulatory functions in Alaska.
  • D. DPS chosen
    DPS is the IATA airport code for Ngurah Rai International Airport, the main international gateway to Bali, Indonesia.
  • E. DPS
    DPS is the stock ticker symbol for Dr Pepper Snapple Group, a major North American beverage company known for its soft drink brands.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beabf72881909771b6c6a81276d6 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.