Triple

T4073485
Position Surface form Disambiguated ID Type / Status
Subject Cox Automotive E86702 entity
Predicate owns P347 FINISHED
Object Xtime E411955 NE FINISHED

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: Xtime | Statement: [Cox Automotive, owns, Xtime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xtime
Context triple: [Cox Automotive, owns, Xtime]
  • A. Xtime chosen
    Xtime is a Cox Automotive company that provides software solutions to help automotive dealerships manage service scheduling, customer communications, and retention.
  • B. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • C. Citium
    Citium was an ancient city on the southern coast of Cyprus, historically significant as a Phoenician-Greek trading center and the birthplace of the Stoic philosopher Zeno.
  • D. Efficeon
    Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
  • E. X-32
    X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc22be988190a2b6575d4f5e0f7b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b5c2c948190a2548e26be3eedfd completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:39 p.m.