Triple

T5030216
Position Surface form Disambiguated ID Type / Status
Subject Haps E113278 entity
Predicate partOf P40 FINISHED
Object North Brabant E23119 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: North Brabant | Statement: [Haps, partOf, North Brabant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Brabant
Context triple: [Haps, partOf, North Brabant]
  • A. North Brabant chosen
    North Brabant is a southern province of the Netherlands known for its historic cities, Catholic cultural heritage, and role as a key battleground during World War II.
  • B. Gelderland
    Gelderland is a large province in the eastern Netherlands known for its varied landscapes, including the forested Veluwe region and the river areas along the Rhine, Waal, and IJssel.
  • C. Limburg Province
    Limburg Province is a northeastern Belgian province known for its rural landscapes, cycling routes, and several military installations, including Kleine-Brogel Air Base.
  • D. Zuid-Holland
    Zuid-Holland is a densely populated coastal province in the western Netherlands that includes major cities such as Rotterdam and The Hague.
  • E. Central Netherlands
    Central Netherlands is a geographic region in the heart of the Netherlands that includes the city of Utrecht and serves as an important hub for commerce, transportation, and culture.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd739099a0819099c6201d4e1c5ee2 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7239e1ea481908c64d8a2d600aa30 completed March 28, 2026, 12:41 a.m.
Created at: March 20, 2026, 1:36 p.m.