Triple

T6997154
Position Surface form Disambiguated ID Type / Status
Subject Amsterdamse Poort E162243 entity
Predicate hasAlternativeName P39 FINISHED
Object Amsterdam Gate E162243 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: Amsterdam Gate | Statement: [Amsterdamse Poort, hasAlternativeName, Amsterdam Gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amsterdam Gate
Context triple: [Amsterdamse Poort, hasAlternativeName, Amsterdam Gate]
  • A. Londorossi Gate
    Londorossi Gate is a primary western entrance and registration point to Mount Kilimanjaro National Park, commonly used by climbers beginning the Lemosho Route.
  • B. Schiedam Gate
    Schiedam Gate was a historic city gate in Delft, Netherlands, best known today for its prominent appearance in Johannes Vermeer’s painting "View of Delft."
  • C. Erer Gate
    Erer Gate is one of the historic gateways in the ancient walled city of Harar Jugol in eastern Ethiopia.
  • D. Amsterdamse Poort chosen
    Amsterdamse Poort is the last remaining medieval city gate of Haarlem, Netherlands, and a notable historic architectural monument.
  • E. Leopold Gate
    Leopold Gate is a historic Baroque entrance gate in the Vyšehrad fortress complex in Prague, Czech Republic.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeef57881909245c8a5374a8111 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a2465908190b69454f6215365b0 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:32 p.m.