Triple

T7503954
Position Surface form Disambiguated ID Type / Status
Subject Tomogashima Islands E177337 entity
Predicate administeredBy P86 FINISHED
Object Wakayama City E333543 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: Wakayama City | Statement: [Tomogashima Islands, administeredBy, Wakayama City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wakayama City
Context triple: [Tomogashima Islands, administeredBy, Wakayama City]
  • A. Wakayama City chosen
    Wakayama City is a coastal city in Japan known for its historic Wakayama Castle, scenic views over Wakayama Bay, and role as a regional commercial and cultural center in the Kansai area.
  • B. Kashihara
    Kashihara is a city in Nara Prefecture, Japan, historically associated with the legendary founding of the Japanese imperial line and home to significant Shinto sites.
  • C. Nishinomiya
    Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
  • D. Tagawa City
    Tagawa City is a small inland municipality in central Fukuoka Prefecture, Japan, historically known as a coal-mining town and now a local commercial and cultural center.
  • E. Maibara
    Maibara is a city in Shiga Prefecture, Japan, known as a regional transportation hub with a Shinkansen station and scenic views of nearby Lake Biwa and surrounding mountains.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b32c708190bb3a92d0d949304a completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4aca16a10819097bb8655c8c1a36d completed April 19, 2026, 10:21 a.m.
Created at: March 27, 2026, 3:44 p.m.