Triple

T6475112
Position Surface form Disambiguated ID Type / Status
Subject Baojun 510 E146050 entity
Predicate emblem P129 FINISHED
Object Baojun horse logo E4516 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: Baojun horse logo | Statement: [Baojun 510, emblem, Baojun horse logo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baojun horse logo
Context triple: [Baojun 510, emblem, Baojun horse logo]
  • A. Baojun passenger car platform
    The Baojun passenger car platform is a modular vehicle architecture developed by the Chinese automaker Baojun to underpin a range of its compact and mid-size passenger cars.
  • B. Baojun chosen
    Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
  • C. Baojun E200
    The Baojun E200 is a compact, two-seat electric city car produced for the Chinese market, designed for short-range urban commuting.
  • D. Baojun 730
    The Baojun 730 is a compact multi-purpose vehicle (MPV) produced by the Chinese automaker Baojun, known for its affordable family-oriented design and spacious interior.
  • E. Baojun RM-5
    The Baojun RM-5 is a compact multi-purpose vehicle (MPV) produced by the Chinese automaker Baojun, known for its modern styling and family-oriented practicality.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a341360819082f2b5496a1a68b0 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653a595b881909e5d3cb781ad5ad4 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:50 p.m.