Triple

T27398221
Position Surface form Disambiguated ID Type / Status
Subject Seibu Toshima Line E691751 entity
Predicate hasThroughConnection P26302 FINISHED
Object Seibu Ikebukuro Line at Nerima NE NERFINISHED

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: Seibu Ikebukuro Line at Nerima | Statement: [Seibu Toshima Line, hasThroughConnection, Seibu Ikebukuro Line at Nerima]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThroughConnection
Context triple: [Seibu Toshima Line, hasThroughConnection, Seibu Ikebukuro Line at Nerima]
  • A. hasThroughServiceWith chosen
    Indicates that two transportation services are operationally linked so that a passenger or shipment can continue from one to the other without a separate booking or major interruption.
  • B. hasRelation
    Indicates that there exists some specified relationship or association between two entities.
  • C. hasTrailConnection
    Indicates that one location is connected to another by a traversable trail or path.
  • D. hasTeleconnectionsWith
    Indicates a relationship where changes or variations in one system, region, or variable are statistically linked to corresponding changes in another, often distant, system, region, or variable.
  • E. hasConnector
    Indicates that one entity is linked or joined to another entity through a connector or connecting element.
  • 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_69ef5204f7048190bf226a129858fc5b completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f661b58ac48190907b6c6e9ccc2c59 completed May 2, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69f660eea4648190b0d5e24293607813 completed May 2, 2026, 8:39 p.m.
Created at: April 27, 2026, 12:28 p.m.