Triple

T18381873
Position Surface form Disambiguated ID Type / Status
Subject Ryōgoku Station E446469 entity
Predicate stationNumber P29273 FINISHED
Object E12
E12 is the station number assigned to Ryōgoku Station on Tokyo’s Toei Ōedo Line.
 E1321558 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: E12 | Statement: [Ryōgoku Station, stationNumber, E12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E12
Context triple: [Ryōgoku Station, stationNumber, E12]
  • A. E12
    E12 is a European route that forms part of the international E-road network, connecting Finland with Sweden and Norway across the Nordic region.
  • B. E21
    E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
  • C. E22
    E22 is a major European route that forms part of the international E-road network, linking multiple countries across Europe.
  • D. E10
    E10 is the internal BMW chassis code for the classic 02 Series compact sports sedans produced in the late 1960s and 1970s.
  • E. E10
    E10 is an airport departure gate located within Concourse E.
  • 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: E12
Triple: [Ryōgoku Station, stationNumber, E12]
Generated description
E12 is the station number assigned to Ryōgoku Station on Tokyo’s Toei Ōedo Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E12
Target entity description: E12 is the station number assigned to Ryōgoku Station on Tokyo’s Toei Ōedo Line.
  • A. E12
    E12 is a European route that forms part of the international E-road network, connecting Finland with Sweden and Norway across the Nordic region.
  • B. E21
    E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
  • C. E22
    E22 is a major European route that forms part of the international E-road network, linking multiple countries across Europe.
  • D. E10
    E10 is the internal BMW chassis code for the classic 02 Series compact sports sedans produced in the late 1960s and 1970s.
  • E. E10
    E10 is an airport departure gate located within Concourse E.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179b60f88190adf39e85375bd11b completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d782cb54819091b847cdeb98ed5c completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8adc00c81908ca0a4825a2bcea1 completed May 13, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_6a03da59c1b081908d9488233c611586 completed May 13, 2026, 1:56 a.m.
Created at: April 10, 2026, 10:45 a.m.