Triple

T23636486
Position Surface form Disambiguated ID Type / Status
Subject Kikuna Depot E583761 entity
Predicate servicesRollingStock P152978 FINISHED
Object Tokyo Metro 8000 series 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: Tokyo Metro 8000 series | Statement: [Kikuna Depot, servicesRollingStock, Tokyo Metro 8000 series]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servicesRollingStock
Context triple: [Kikuna Depot, servicesRollingStock, Tokyo Metro 8000 series]
  • A. ownedRollingStock
    Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
  • B. passengerRollingStock
    Indicates that the rolling stock is designed or used for carrying passengers rather than freight or other purposes.
  • C. formerRollingStock
    Indicates that an entity was previously used as rolling stock (e.g., railway vehicles) but no longer serves in that capacity.
  • D. relatedRollingStock
    Indicates a relationship between pieces of rolling stock that are associated with each other, such as through shared operations, configurations, or functional linkage.
  • E. laterRollingStock
    Indicates that one piece of rolling stock comes into use or service at a later time than another piece of rolling stock.
  • F. None of above. chosen

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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1ed03148190a14b3c81ebf7ed99 completed April 29, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69f118d7903c8190bb590a71771e93af completed April 28, 2026, 8:30 p.m.
PDg Predicate description generation batch_69f1233300bc8190ac1639bdca1d7d99 completed April 28, 2026, 9:14 p.m.
Created at: April 17, 2026, 6:47 p.m.