Triple

T37749619
Position Surface form Disambiguated ID Type / Status
Subject Sonic limited express E940943 entity
Predicate introducedRollingStockModel P17949 FINISHED
Object 883 series
The 883 series is a Japanese electric multiple unit train operated by JR Kyushu, best known for its distinctive, futuristic design and use on limited express services in Kyushu.
 E2240281 NE FINISHED

How this triple was built (3 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: 883 series | Statement: [Sonic limited express, introducedRollingStockModel, 883 series]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 883 series
Triple: [Sonic limited express, introducedRollingStockModel, 883 series]
Generated description
The 883 series is a Japanese electric multiple unit train operated by JR Kyushu, best known for its distinctive, futuristic design and use on limited express services in Kyushu.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: introducedRollingStockModel
Context triple: [Sonic limited express, introducedRollingStockModel, 883 series]
  • A. introducedRollingStock chosen
    Indicates that an entity caused new rolling stock (such as trains or rail vehicles) to be put into service or use.
  • 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. ownedRollingStock
    Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
  • E. branchLineRollingStock
    Indicates that the rolling stock is assigned to or operates on a branch line rather than a main line.
  • F. None of above.

Provenance (6 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_69f76ee1f3a88190834e6c8af99bccc9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff0491409c8190be40f633a58da0b1 completed May 9, 2026, 9:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a40d69156b081908e40b5ca296289f4 completed June 28, 2026, 8:08 a.m.
NEDg Description generation batch_6a40d8b862d88190966e140bbff378e3 completed June 28, 2026, 8:18 a.m.
NED2 Entity disambiguation (via description) batch_6a40d94c5abc8190b2f8f70293c2bb29 completed June 28, 2026, 8:20 a.m.
PD Predicate disambiguation batch_69ff040bb5cc81909534c7eee85d5e90 completed May 9, 2026, 9:53 a.m.
Created at: May 3, 2026, 4:19 p.m.