Triple

T34991249
Position Surface form Disambiguated ID Type / Status
Subject Yamanote district E1009389 entity
Predicate includesHistorically P59380 FINISHED
Object Yotsuya area E1709627 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: Yotsuya area | Statement: [Yamanote district, includesHistorically, Yotsuya area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesHistorically
Context triple: [Yamanote district, includesHistorically, Yotsuya area]
  • A. includesHistoricSee
    Indicates that something contains or encompasses a historically significant site, feature, or point of interest.
  • B. historicallyIn
    Indicates that one entity existed, occurred, or was situated within the historical context, period, or jurisdiction associated with another entity.
  • C. historicallyEncompassed chosen
    Indicates that one entity previously included, covered, or contained another entity within its scope, extent, or boundaries during a past historical period.
  • D. includeHistoricalSee
    Indicates that a relationship or reference should also encompass or display historically related "see also" connections or pointers.
  • E. historicallyIndicates
    Indicates that one entity serves as evidence, a sign, or a marker of another entity specifically within a historical context or time period.
  • F. None of above.

Provenance (4 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_69f76dca50dc8190b71f39defe186be8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3803ee73348190b377b15cf93ac660 completed June 21, 2026, 3:31 p.m.
PD Predicate disambiguation batch_6a0379ff1ba081908eda86acefcf69fb completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:01 p.m.