Triple

T14061255
Position Surface form Disambiguated ID Type / Status
Subject CRH E338350 entity
Predicate brandingAppliesTo P6644 FINISHED
Object CRH6A trainsets E720924 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: CRH6A trainsets | Statement: [CRH, brandingAppliesTo, CRH6A trainsets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CRH6A trainsets
Context triple: [CRH, brandingAppliesTo, CRH6A trainsets]
  • A. CRH6A EMU chosen
    The CRH6A EMU is a high-speed electric multiple unit train used in China for intercity passenger services.
  • B. MP-68 trains
    MP-68 trains are a class of rubber-tyred metro rolling stock that have operated on Mexico City’s Metro system since the late 1960s.
  • C. CRH2 EMU
    The CRH2 EMU is a high-speed electric multiple unit train used in China’s railway network, derived from Japan’s Shinkansen technology and designed for fast, long-distance passenger service.
  • D. Class 313 EMU
    The Class 313 EMU is a British dual-voltage electric multiple unit train introduced in the 1970s, notable for being among the first of its kind to operate on both overhead and third-rail power systems.
  • E. Class 745 EMU
    The Class 745 EMU is a modern electric multiple unit train used on regional and intercity services in the UK, built for high-capacity, high-comfort passenger operations.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568876308190840361dcaf10bd45 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd09db51c8190ab275e68b1aec120 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.