Triple

T10687416
Position Surface form Disambiguated ID Type / Status
Subject Meguro Ward E251913 entity
Predicate hasDistrict P459 FINISHED
Object Aobadai E268152 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: Aobadai | Statement: [Meguro Ward, hasDistrict, Aobadai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aobadai
Context triple: [Meguro Ward, hasDistrict, Aobadai]
  • A. Aobadai chosen
    Aobadai is a residential and commercial neighborhood in Meguro, Tokyo, known for its upscale apartments, cafes, and convenient access to central Tokyo.
  • B. Aozou
    Aozou is a small, remote settlement in northern Chad, historically associated with the disputed Aozou Strip along the Chadian–Libyan border.
  • C. Aonobuaka
    Aonobuaka is a village settlement located on the atoll of Abaiang in Kiribati.
  • D. Bedonkohe
    The Bedonkohe are a Western Apache subgroup historically associated with the Mogollon Mountains region of present-day New Mexico.
  • E. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd19f0f481909eeaa75d17d9c060 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9889d1f988190938be54771161b00 completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:10 p.m.