Triple

T2381344
Position Surface form Disambiguated ID Type / Status
Subject Port of Rouen E46317 entity
Predicate administeredBy P86 FINISHED
Object Haropa Port E240058 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: Haropa Port | Statement: [Port of Rouen, administeredBy, Haropa Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haropa Port
Context triple: [Port of Rouen, administeredBy, Haropa Port]
  • A. Haropa Port chosen
    Haropa Port is a major French port complex and logistics hub that unites the ports of Le Havre, Rouen, and Paris along the Seine corridor.
  • B. Izumiotsu Port
    Izumiotsu Port is a commercial seaport in Izumiotsu, Osaka Prefecture, Japan, serving as a regional hub for maritime trade and logistics along Osaka Bay.
  • C. Dekheila Port
    Dekheila Port is a major commercial seaport and container terminal complex located just west of Alexandria on Egypt’s Mediterranean coast.
  • D. Tien Sa Port
    Tien Sa Port is a major deep-water seaport in Da Nang, Vietnam, serving as a key hub for cargo shipping and cruise tourism in the central region.
  • E. Port of Naha
    The Port of Naha is a major seaport and transportation hub in Okinawa, Japan, serving as a key gateway for passenger ferries, cargo shipping, and regional trade in the Ryukyu Islands.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b7c9188190a824e4b469bc1548 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3ccec008190b21c0bf84f8ecd09 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.