Triple

T23002002
Position Surface form Disambiguated ID Type / Status
Subject iPro Stadium E572655 entity
Predicate namingRightsHolder P3318 FINISHED
Object iPro 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: iPro | Statement: [iPro Stadium, namingRightsHolder, iPro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPro
Context triple: [iPro Stadium, namingRightsHolder, iPro]
  • A. iPro chosen
    iPro is a sports drink and hydration brand known for sponsoring professional sports teams and venues.
  • B. IIP
    IIP is an abbreviation that can refer to various organizations or concepts, commonly including the Institute of International Politics, the International Investment Position in economics, or other context-specific entities.
  • C. I2O
    I2O is the acronym for DARPA’s Information Innovation Office, which focuses on advancing cutting-edge information science and technology for national security.
  • D. E-Pro
    "E-Pro" is a 2005 alternative rock single by American musician Beck, known for its catchy riff, energetic style, and success on modern rock charts.
  • E. IPT
    IPT is the IATA airport code for Williamsport Regional Airport in Pennsylvania, United States.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18353d05481909abacb48a14ef21e completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.