Triple

T11133995
Position Surface form Disambiguated ID Type / Status
Subject Luga River E263361 entity
Predicate hasPortAtMouth P414 FINISHED
Object Ust-Luga port E730405 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: Ust-Luga port | Statement: [Luga River, hasPortAtMouth, Ust-Luga port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ust-Luga port
Context triple: [Luga River, hasPortAtMouth, Ust-Luga port]
  • A. Port of Ust-Luga chosen
    The Port of Ust-Luga is a major Russian Baltic Sea deep-water seaport and cargo hub in Leningrad Oblast, serving as a key outlet for coal, oil products, and other bulk exports.
  • B. Arkhangelsk River Port
    Arkhangelsk River Port is a major Russian inland port facility in the city of Arkhangelsk that serves as an important hub for river transport and cargo handling in the northern region.
  • C. Murmansk seaport
    Murmansk seaport is a major ice-free Arctic port in northwestern Russia that serves as a key hub for maritime trade, fishing, and naval operations in the Barents Sea region.
  • D. Yalta Sea Port
    Yalta Sea Port is a major maritime harbor and transportation hub serving the resort city of Yalta on the southern coast of the Crimean Peninsula.
  • E. Port of Muroran
    The Port of Muroran is a major industrial and commercial seaport in Hokkaido, Japan, serving as a key hub for steel, energy, and cargo shipping in the region.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ace2228c8190936757f5b1eaa1eb completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:28 p.m.