Triple

T24989816
Position Surface form Disambiguated ID Type / Status
Subject T-10 E625414 entity
Predicate letterRepresents P157513 FINISHED
Object Tozai Line
The Tozai Line is a major Tokyo Metro subway line in Japan that runs east–west across the city, connecting central Tokyo with its eastern suburbs.
 E394221 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: Tozai Line | Statement: [T-10, letterRepresents, Tozai Line]
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: Tozai Line
Triple: [T-10, letterRepresents, Tozai Line]
Generated description
The Tozai Line is a major Tokyo Metro subway line in Japan that runs east–west across the city, connecting central Tokyo with its eastern suburbs.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: letterRepresents
Context triple: [T-10, letterRepresents, Tozai Line]
  • A. alphabeticPartRepresents
    Indicates that the alphabetic portion of an identifier, code, or label stands for or denotes a particular concept, category, or entity.
  • B. characterRepresentation
    Indicates a relationship where one entity serves as the symbolic, visual, or conceptual depiction of another entity’s character or identity.
  • C. secondLetterRepresents
    Indicates that the second letter of one entity stands for, symbolizes, or denotes another entity or concept.
  • D. representsForCharacters
    Indicates that one entity performs a representation or advocacy role on behalf of specific characters.
  • E. letterSequence
    Indicates that one sequence of letters directly follows or is ordered in relation to another within a larger string or alphabetic arrangement.
  • F. None of above. chosen

Provenance (7 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_69e2ff2611c081908710457fbe6d376b completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f44a4416e881909c58f3b4d9e4b42d completed May 1, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5a6c1f6840819097298b881abd7fb6 completed July 17, 2026, 5:53 p.m.
NEDg Description generation batch_6a5a6cb83b1481908367cc9831344089 completed July 17, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_6a5a6f4097288190ad444adefc46996c completed July 17, 2026, 6:06 p.m.
PD Predicate disambiguation batch_69f442c0c2e88190acd7f170f10ccef6 completed May 1, 2026, 6:05 a.m.
PDg Predicate description generation batch_69f448fe11f08190bdd53ca7ba2d51e4 completed May 1, 2026, 6:32 a.m.
Created at: April 18, 2026, 6:03 a.m.