Triple

T393550
Position Surface form Disambiguated ID Type / Status
Subject A’DAM Tower E8931 entity
Predicate overlooks P1323 FINISHED
Object Port of Amsterdam E40560 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: Port of Amsterdam | Statement: [A’DAM Tower, overlooks, Port of Amsterdam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Amsterdam
Context triple: [A’DAM Tower, overlooks, Port of Amsterdam]
  • A. Port of Amsterdam chosen
    The Port of Amsterdam is one of Europe’s largest seaports and a major hub for maritime trade, logistics, and industry in the Netherlands.
  • B. Port of Vlissingen
    The Port of Vlissingen is a significant Dutch seaport on the North Sea coast, serving as an important hub for maritime trade, logistics, and industry in the southwestern Netherlands.
  • C. Port of Antwerp
    The Port of Antwerp is one of Europe’s largest and busiest seaports, serving as a key international hub for maritime trade, logistics, and industry in Belgium.
  • D. Port of Hamburg
    The Port of Hamburg is Germany’s largest seaport and a major European logistics hub, known as the country’s “Gateway to the World.”
  • E. Amsterdam ferry network
    The Amsterdam ferry network is a system of free passenger and bicycle ferries that connect various parts of the city across the IJ and other waterways, forming an important component of Amsterdam’s public transport.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec7637c08190b695ec640edbf6c2 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c6698344819084b55d4a50408e5d completed March 1, 2026, 11:06 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.