Triple

T11550211
Position Surface form Disambiguated ID Type / Status
Subject Brussels railway stations E273869 entity
Predicate hasStation P35 FINISHED
Object Watermael E534794 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: Watermael | Statement: [Brussels railway stations, hasStation, Watermael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watermael
Context triple: [Brussels railway stations, hasStation, Watermael]
  • A. Watermael-Boitsfort chosen
    Watermael-Boitsfort is a largely residential, green municipality in the southeastern part of Brussels, Belgium, known for its garden cities and proximity to the Sonian Forest.
  • B. Dalmeny
    Dalmeny is a village in Scotland located near the Firth of Forth, known for its proximity to the Forth Bridge and its role as a commuter settlement for Edinburgh.
  • C. Pontivy
    Pontivy is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval center and Napoleonic-era architecture along the Blavet River.
  • D. Westmere
    Westmere is Intel's 32 nm microarchitecture, a die-shrink of Nehalem that introduced several new features and performance improvements to the Core processor lineup.
  • E. Walhain
    Walhain is a rural municipality in central Belgium known for its agricultural landscape and historic castle ruins.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a83f1e88190aabf11a4c8a6c9e5 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8396ed081909bdf381db3dacd62 completed April 21, 2026, 3 a.m.
Created at: April 8, 2026, 9:37 p.m.