Triple

T1925361
Position Surface form Disambiguated ID Type / Status
Subject Yodo River E40816 entity
Predicate hasPortNearMouth P33522 FINISHED
Object Port of Osaka E51174 NE FINISHED

How this triple was built (3 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: [Yodo River, hasPortNearMouth, Port of Osaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Osaka
Context triple: [Yodo River, hasPortNearMouth, 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 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.
  • D. Port of Tokyo
    The Port of Tokyo is one of Japan’s major international seaports, serving as a key hub for container shipping, trade, and logistics in the Greater Tokyo metropolitan area.
  • E. Port of Kawasaki
    The Port of Kawasaki is a major industrial and commercial seaport in Kanagawa Prefecture, Japan, serving as a key logistics and manufacturing hub within the Greater Tokyo area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPortNearMouth
Context triple: [Yodo River, hasPortNearMouth, Port of Osaka]
  • A. mouthNear
    Indicates that one entity’s mouth is positioned close to another entity or object in space.
  • B. mouthOf
    Indicates the location where one entity (typically a river or similar feature) empties into or opens out into another, larger body or feature.
  • C. mouth
    Indicates that one entity is the mouth (oral opening) of another entity, typically serving as the location for ingestion, speech, or related functions.
  • D. mouthState
    Indicates the current condition or configuration of an entity’s mouth, such as whether it is open, closed, or in another specific state.
  • E. hasIslandAtMouth
    Indicates that a geographic feature, typically a river, has an island located at or near its mouth where it meets a larger body of water.
  • F. None of above. chosen

Provenance (5 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb260da088190ac53bfc9437e112b completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb0be848190a492ed8fa3b600ea completed March 8, 2026, 10:44 p.m.
PD Predicate disambiguation batch_69abafeec6f881909d47acb966683279 completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb20c4970819086e66a5435744297 completed March 7, 2026, 5:05 a.m.
Created at: March 4, 2026, 7:35 p.m.