Triple

T15501630
Position Surface form Disambiguated ID Type / Status
Subject N205 road E378970 entity
Predicate regionServed P82 FINISHED
Object Kennemerland E286462 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: Kennemerland | Statement: [N205 road, regionServed, Kennemerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kennemerland
Context triple: [N205 road, regionServed, Kennemerland]
  • A. Kennemerland chosen
    Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
  • B. Schouwen-Duiveland
    Schouwen-Duiveland is a coastal municipality and island in the southwest of the Netherlands known for its beaches, nature reserves, and water sports tourism.
  • C. Flevoland
    Flevoland is the youngest Dutch province, largely created through land reclamation from the IJsselmeer in the central Netherlands.
  • D. Drenthe, Netherlands
    Drenthe, Netherlands is a rural northeastern Dutch province known for its prehistoric dolmen tombs, extensive nature reserves, and quiet agricultural landscapes.
  • E. Oosterstreek
    Oosterstreek is a small village in the municipality of Weststellingwerf in the Dutch province of Friesland.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcc5bb88190b8a9a81419a9a38b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90887ef48190b6148830803669dd completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 3:54 a.m.