Triple

T614089
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Yangtze River Bridge E12163 entity
Predicate hasDeckCount P6815 FINISHED
Object 2 LITERAL 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: 2 | Statement: [Wuhan Yangtze River Bridge, hasDeckCount, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDeckCount
Context triple: [Wuhan Yangtze River Bridge, hasDeckCount, 2]
  • A. hasDeckType
    Indicates that an entity possesses or is associated with a specific type or category of deck.
  • B. numberOfDecks chosen
    Indicates the quantity of decks associated with or contained in an entity.
  • C. hasCrownCount
    Indicates the number of crowns that an entity possesses or is associated with.
  • D. numberOfBoosters
    Indicates the quantity of booster units associated with or used by an entity.
  • E. hasHeadCount
    Indicates that an entity is associated with a specific number of individuals, typically representing the size or count of people (or similar units) related to it.
  • F. None of above.

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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e0a0f588190b953fdb585263307 completed March 1, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69a49cfbcbf88190a854921dc531eba8 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.