Triple

T1093251
Position Surface form Disambiguated ID Type / Status
Subject Tempozan Harbor Village E24212 entity
Predicate hasView P854 FINISHED
Object Port of Osaka E51174 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: Port of Osaka | Statement: [Tempozan Harbor Village, hasView, Port of Osaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Osaka
Context triple: [Tempozan Harbor Village, hasView, Port of Osaka]
  • A. Port of Osaka chosen
    The Port of Osaka is a major Japanese seaport and logistics hub serving the Kansai region, handling international trade, passenger ferries, and cruise ships.
  • B. Port of Kobe
    The Port of Kobe is one of Japan’s major international seaports, serving as a key hub for container shipping and maritime trade in the Kansai region.
  • C. Port of Nagoya
    The Port of Nagoya is Japan’s busiest and largest trading port, serving as a major hub for automobile exports and international maritime commerce.
  • D. Port of Nishinomiya
    The Port of Nishinomiya is a regional Japanese seaport in Hyōgo Prefecture that supports coastal shipping, fishing, and marine recreation along the eastern shore of Osaka Bay.
  • E. Port of Amagasaki
    The Port of Amagasaki is a major industrial and commercial seaport in Hyōgo Prefecture, Japan, serving the Kansai region with cargo handling and maritime logistics facilities.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99bd06c8190bce1d77b0337b07c completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f0c7d4c819082672393b0542af4 completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:42 p.m.