Triple

T10015053
Position Surface form Disambiguated ID Type / Status
Subject Aichi Prefecture E199464 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object Nishi-Mikawa
Nishi-Mikawa is a Japanese vehicle registration code used for cars registered in the western part of Mikawa region in Aichi Prefecture.
E949493 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: Nishi-Mikawa | Statement: [Aichi Prefecture, vehicleRegistrationCode, Nishi-Mikawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishi-Mikawa
Context triple: [Aichi Prefecture, vehicleRegistrationCode, Nishi-Mikawa]
  • A. Ikawai
    Ikawai is a small rural settlement in the Waimate District of the Canterbury region on New Zealand’s South Island.
  • B. Takehara-shi
    Takehara-shi is a coastal city in Hiroshima Prefecture, Japan, known for its well-preserved historic townscape and traditional salt-making heritage.
  • C. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • D. Kisarazu
    Kisarazu is a coastal city in Chiba Prefecture, Japan, known as the mainland terminus of the Tokyo Bay Aqua-Line expressway.
  • E. Nishi-Okano
    Nishi-Okano is a notable neighborhood within Nishi Ward in the city of Yokohama, 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: Nishi-Mikawa
Triple: [Aichi Prefecture, vehicleRegistrationCode, Nishi-Mikawa]
Generated description
Nishi-Mikawa is a Japanese vehicle registration code used for cars registered in the western part of Mikawa region in Aichi Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nishi-Mikawa
Target entity description: Nishi-Mikawa is a Japanese vehicle registration code used for cars registered in the western part of Mikawa region in Aichi Prefecture.
  • A. Ikawai
    Ikawai is a small rural settlement in the Waimate District of the Canterbury region on New Zealand’s South Island.
  • B. Takehara-shi
    Takehara-shi is a coastal city in Hiroshima Prefecture, Japan, known for its well-preserved historic townscape and traditional salt-making heritage.
  • C. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • D. Kisarazu
    Kisarazu is a coastal city in Chiba Prefecture, Japan, known as the mainland terminus of the Tokyo Bay Aqua-Line expressway.
  • E. Nishi-Okano
    Nishi-Okano is a notable neighborhood within Nishi Ward in the city of Yokohama, 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd49b19c8190b429e3533d072648 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1658e03a8819098ea2ac2f818a61a completed April 29, 2026, 1:57 a.m.
NEDg Description generation batch_69f16e31ebfc81908255e24b96bf9a99 completed April 29, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69f1a09eae7481908200709ae9721d53 completed April 29, 2026, 6:09 a.m.
Created at: March 30, 2026, 8:52 p.m.