Triple

T17923376
Position Surface form Disambiguated ID Type / Status
Subject EV Complex E448129 entity
Predicate hasAbbreviation P43 FINISHED
Object EV Building 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: EV Building | Statement: [EV Complex, hasAbbreviation, EV Building]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EV Building
Context triple: [EV Complex, hasAbbreviation, EV Building]
  • A. EV Building chosen
    EV Building is a major Concordia University campus facility known for housing engineering, computer science, and visual arts programs in a modern, interdisciplinary environment.
  • B. Electric Vehicle Architecture
    Electric Vehicle Architecture is Mercedes-Benz’s dedicated modular platform designed specifically for its next-generation battery-electric vehicles.
  • C. EVZ
    EVZ is a professional Swiss ice hockey club based in Zug that competes in the National League.
  • D. BrightDrop Zevo electric van platform
    The BrightDrop Zevo electric van platform is General Motors’ purpose-built, battery-electric delivery vehicle line designed to support efficient, low-emission commercial logistics and last-mile operations.
  • E. Tesla vehicles
    Tesla vehicles are a line of all-electric cars and SUVs produced by Tesla, Inc., known for their long range, high performance, advanced battery technology, and integrated autonomous driving features.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30bde508190bc529ccae81f0e2a completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.