Triple

T18190179
Position Surface form Disambiguated ID Type / Status
Subject Oklahoma turnpikes E435510 entity
Predicate electronicTollSystem P395 FINISHED
Object PIKEPASS 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: PIKEPASS | Statement: [Oklahoma turnpikes, electronicTollSystem, PIKEPASS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PIKEPASS
Context triple: [Oklahoma turnpikes, electronicTollSystem, PIKEPASS]
  • A. PIKEPASS chosen
    PIKEPASS is an electronic toll collection system used on Oklahoma turnpikes, allowing drivers to pay tolls automatically without stopping.
  • B. Piipaash
    Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
  • C. PIK
    PIK is a leading German research institute focused on analyzing the causes and impacts of climate change and developing strategies for sustainable solutions.
  • D. PIK
    PIK is the three-letter IATA airport code for Glasgow Prestwick Airport in South Ayrshire, Scotland.
  • E. Pasajes
    Pasajes is a coastal town and port in the province of Gipuzkoa in Spain’s Basque Country, known for its historic maritime activity and picturesque harbor.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0016ec08190ae853dbc89865a41 completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.