Triple

T514530
Position Surface form Disambiguated ID Type / Status
Subject Yokohama E10676 entity
Predicate hasNumberOfWards P14475 FINISHED
Object 18 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: 18 | Statement: [Yokohama, hasNumberOfWards, 18]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfWards
Context triple: [Yokohama, hasNumberOfWards, 18]
  • A. hasNumberOfCouncillors
    Indicates the relationship that specifies how many councillors are associated with a given entity.
  • B. containsWard chosen
    Indicates that one entity includes, encompasses, or has within it a ward (such as a district, division, or dependent person) as part of its scope or responsibility.
  • C. hasNumberOfConstituencies
    Indicates the specific count of constituencies associated with an entity.
  • D. hasNumberOfBarangays
    Indicates the total count of barangays associated with a given administrative unit or locality.
  • E. numberOfDistricts
    Indicates the total count of districts associated with a given entity or area.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f232fa688190b08a2fe3f22c7a6e completed Feb. 28, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69a2f013c05481909e6dc87e7b20ebd8 completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.