Triple

T2327409
Position Surface form Disambiguated ID Type / Status
Subject Nishinomiya Shrine E48319 entity
Predicate locatedIn P40 FINISHED
Object Nishinomiya E48319 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: Nishinomiya | Statement: [Nishinomiya Shrine, locatedIn, Nishinomiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishinomiya
Context triple: [Nishinomiya Shrine, locatedIn, Nishinomiya]
  • A. Nishinomiya chosen
    Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
  • B. Amagasaki
    Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
  • C. Wakayama City
    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.
  • D. 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.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc64c7f1881909b0d847f7782e803 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69bfaf20b6408190ae0ab543361a0eb2 completed March 22, 2026, 8:58 a.m.
Created at: March 4, 2026, 7:50 p.m.