Triple

T15269805
Position Surface form Disambiguated ID Type / Status
Subject Hanzelijn E364990 entity
Predicate regionServed P82 FINISHED
Object Flevoland E162938 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: Flevoland | Statement: [Hanzelijn, regionServed, Flevoland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flevoland
Context triple: [Hanzelijn, regionServed, Flevoland]
  • A. Flevoland chosen
    Flevoland is the youngest Dutch province, largely created through land reclamation from the IJsselmeer in the central Netherlands.
  • B. Eastern Flevoland
    Eastern Flevoland is a major polder in the Dutch province of Flevoland, reclaimed from the IJsselmeer and used primarily for agriculture and planned settlements.
  • C. Drenthe
    Drenthe is a rural province in the northeastern Netherlands known for its prehistoric dolmens, heathlands, and forests.
  • D. West-Friesland
    West-Friesland is a historical region in the northwest of the Netherlands known for its distinctive cultural identity, traditional landscapes, and old trading towns.
  • E. Kennemerland
    Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094eac848190a1740ae1aa6b28e0 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aade82788190a5f3cedbc22065c4 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 3:14 a.m.