Triple

T2529847
Position Surface form Disambiguated ID Type / Status
Subject Port of Sakai-Semboku E56130 entity
Predicate partOf P40 FINISHED
Object ports of Osaka Bay E152894 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: ports of Osaka Bay | Statement: [Port of Sakai-Semboku, partOf, ports of Osaka Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ports of Osaka Bay
Context triple: [Port of Sakai-Semboku, partOf, ports of Osaka Bay]
  • A. Port of Osaka
    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. Kishiwada Port chosen
    Kishiwada Port is a coastal harbor facility in Kishiwada, Osaka Prefecture, Japan, serving regional maritime transport and local industry.
  • D. Port of Chiba
    The Port of Chiba is one of Japan’s largest industrial and cargo ports, serving as a major hub for petrochemical and manufacturing industries along the eastern shore of Tokyo Bay.
  • E. 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.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd276930c8190bd46b52e06b7098e completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bb6bb608190845706f1a675ad1c completed March 9, 2026, 8:21 p.m.
Created at: March 6, 2026, 9:46 p.m.