Triple

T9630534
Position Surface form Disambiguated ID Type / Status
Subject Hamburg-Mitte E232790 entity
Predicate contains P35 FINISHED
Object Hamburg Port areas (large parts) E50057 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: Hamburg Port areas (large parts) | Statement: [Hamburg-Mitte, contains, Hamburg Port areas (large parts)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburg Port areas (large parts)
Context triple: [Hamburg-Mitte, contains, Hamburg Port areas (large parts)]
  • A. Harburg port area
    Harburg port area is a southern section of the Port of Hamburg that includes industrial waterfront, cargo facilities, and associated harbor infrastructure.
  • B. Port of Hamburg chosen
    The Port of Hamburg is Germany’s largest seaport and a major European logistics hub, known as the country’s “Gateway to the World.”
  • C. Port Area
    Port Area is a coastal district of Manila known for its harbor facilities, shipping activities, and proximity to the historic walled city of Intramuros.
  • D. Port of Wilhelmshaven
    The Port of Wilhelmshaven is Germany’s only deep-water container port and a major North Sea harbor handling crude oil, containers, and naval operations.
  • E. Gstadt harbor
    Gstadt harbor is a lakeside port and departure point on the shores of Lake Chiemsee in Bavaria, Germany, serving as a gateway to the lake’s islands and surrounding attractions.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b01863c8190a9ec4684804f96bc completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1822e12b8819089d4a64a9980cfcd completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.