Triple

T10760418
Position Surface form Disambiguated ID Type / Status
Subject Saitama (city) E253810 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object Saitama E48329 NE FINISHED

How this triple was built (2 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: Saitama | Statement: [Saitama (city), vehicleRegistrationCode, Saitama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saitama
Context triple: [Saitama (city), vehicleRegistrationCode, Saitama]
  • A. Toda, Saitama
    Toda, Saitama is a city in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town within the Greater Tokyo metropolitan area.
  • B. Wako, Saitama
    Wako, Saitama is a city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter town within the Greater Tokyo Area.
  • C. Niiza, Saitama
    Niiza, Saitama is a suburban city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and educational hub within the Greater Tokyo Area.
  • D. Itami, Saitama
    Itami, Saitama is a locality in Saitama Prefecture, Japan, situated on the border with Tokyo’s Nerima ward.
  • E. Saitama Prefecture, Japan chosen
    Saitama Prefecture, Japan is a populous prefecture in the Kantō region just north of Tokyo, known for its role as a major residential and commercial hub as well as for hosting key national institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a14c7481909c6f4f9b15dc130f completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2344b0ec8190b5d713c129790288 completed April 14, 2026, 11:21 a.m.
Created at: April 8, 2026, 9:16 p.m.