Triple

T16453739
Position Surface form Disambiguated ID Type / Status
Subject Randstad regional rail network E399619 entity
Predicate servesRegion 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: [Randstad regional rail network, servesRegion, Flevoland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flevoland
Context triple: [Randstad regional rail network, servesRegion, 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce259d88190803930051409d72c completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179313470819090351e937ea34701 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:10 a.m.