Triple

T20057550
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka City Subway E499379 entity
Predicate hasRollingStock P1305 FINISHED
Object 4000 series
The 4000 series is a type of electric multiple unit train used for passenger services on the Fukuoka City Subway in Japan.
 E1410441 NE FINISHED

How this triple was built (4 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: 4000 series | Statement: [Fukuoka City Subway, hasRollingStock, 4000 series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 4000 series
Context triple: [Fukuoka City Subway, hasRollingStock, 4000 series]
  • A. 6000 series
    The 6000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • B. Série 4000
    Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
  • C. 5000 series
    The 5000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • D. 7000 series
    The 7000 series is a type of electric multiple unit train used on the Nagoya Municipal Subway system in Japan.
  • E. 3000 series
    The 3000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: 4000 series
Triple: [Fukuoka City Subway, hasRollingStock, 4000 series]
Generated description
The 4000 series is a type of electric multiple unit train used for passenger services on the Fukuoka City Subway in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 4000 series
Target entity description: The 4000 series is a type of electric multiple unit train used for passenger services on the Fukuoka City Subway in Japan.
  • A. 6000 series
    The 6000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • B. Série 4000
    Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
  • C. 5000 series
    The 5000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • D. 7000 series
    The 7000 series is a type of electric multiple unit train used on the Nagoya Municipal Subway system in Japan.
  • E. 3000 series
    The 3000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • F. None of above. chosen

Provenance (5 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637325908190aefc0e27e2ed5750 completed April 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f31fcd88190a7ad0461610ebf57 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a081fbb7f208190a032f9f312fd07de completed May 16, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_6a08208c203c819083abea34d10d5e4e completed May 16, 2026, 7:45 a.m.
Created at: April 11, 2026, 3:38 p.m.