Triple

T8940511
Position Surface form Disambiguated ID Type / Status
Subject N206 road E212887 entity
Predicate connects P390 FINISHED
Object Hillegom E209080 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: Hillegom | Statement: [N206 road, connects, Hillegom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hillegom
Context triple: [N206 road, connects, Hillegom]
  • A. Hillegom chosen
    Hillegom is a town in the western Netherlands known for its flower bulb cultivation and location within the historic Duin- en Bollenstreek (Dune and Bulb Region).
  • B. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • C. Valkenswaard
    Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
  • D. Zwanenburg
    Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
  • E. Oirschot
    Oirschot is a historic municipality and town in the Dutch province of North Brabant, known for its well-preserved medieval center and cultural heritage.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b8b37c8190bce6e049de8cf732 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cae488708190823b1e9c07ad2e48 completed April 5, 2026, 8:49 p.m.
Created at: March 30, 2026, 6:58 p.m.