Triple

T11194834
Position Surface form Disambiguated ID Type / Status
Subject Suita, Osaka E264894 entity
Predicate hasNeighbour P5707 FINISHED
Object Minoh, Osaka E695692 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: Minoh, Osaka | Statement: [Suita, Osaka, hasNeighbour, Minoh, Osaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minoh, Osaka
Context triple: [Suita, Osaka, hasNeighbour, Minoh, Osaka]
  • A. Minoh, Osaka chosen
    Minoh, Osaka is a suburban city in northern Osaka Prefecture, Japan, known for its scenic valley, waterfall, and autumn foliage along the Minoh River.
  • B. Sakai, Osaka
    Sakai, Osaka is a historic port city in Japan’s Osaka Prefecture, known for its ancient burial mounds, traditional craftsmanship, and role as a major commercial center.
  • C. Konohana-ku, Osaka
    Konohana-ku, Osaka is a ward of Osaka City in Japan known for hosting major attractions like Universal Studios Japan and its themed entertainment areas.
  • D. Kumatori, Osaka
    Kumatori, Osaka is a suburban town in Osaka Prefecture, Japan, known for its educational institutions and relatively quiet residential character.
  • E. Habikino, Osaka
    Habikino is a city in Osaka Prefecture, Japan, historically notable for its large kofun burial mounds and ancient imperial tombs.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8bf14e481908563b15790af4d20 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5428dc6988190ad5e0c48d8eecb03 completed April 19, 2026, 9:01 p.m.
Created at: April 8, 2026, 9:29 p.m.