Triple

T12569604
Position Surface form Disambiguated ID Type / Status
Subject central Brussels E295566 entity
Predicate contains P35 FINISHED
Object Manneken Pis E54630 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: Manneken Pis | Statement: [central Brussels, contains, Manneken Pis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manneken Pis
Context triple: [central Brussels, contains, Manneken Pis]
  • A. Manneken Pis chosen
    Manneken Pis is a small bronze statue and fountain of a urinating boy in Brussels, serving as one of the city’s most iconic and humorous landmarks.
  • B. De Brouckère
    De Brouckère is a major Brussels Metro station and transport hub located in the central part of Brussels, Belgium.
  • C. Vrouemonument
    Vrouemonument is a national memorial in Bloemfontein, South Africa, dedicated to the women and children who suffered and died in British concentration camps during the Second Boer War.
  • D. Brussels Town Hall
    Brussels Town Hall is a Gothic-style civic building and landmark in Brussels, renowned for its ornate façade and towering spire dominating the Grand Place.
  • E. Wapper square
    Wapper square is a historic public square in the center of Antwerp, Belgium, known for landmarks such as the Rubenshuis museum.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a422c88190a22cc34d2eac00ce completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6559336088190874123c06c86630e completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:50 p.m.