Triple

T18807830
Position Surface form Disambiguated ID Type / Status
Subject Exposure E459925 entity
Predicate locatedIn P40 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: [Exposure, locatedIn, Flevoland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flevoland
Context triple: [Exposure, locatedIn, 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. Oost-Vlieland
    Oost-Vlieland is the main and only village on the Dutch Wadden Sea island of Vlieland, serving as its administrative and population center.
  • E. Drents
    Drents is a Low Saxon dialect spoken in the Dutch province of Drenthe, closely related to neighboring regional varieties in the northeastern Netherlands.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d8ab9c819097834eac798ce810 completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0723f109d48190a70174c9330123cb completed May 15, 2026, 1:47 p.m.
Created at: April 10, 2026, 11:53 a.m.