Triple

T698945
Position Surface form Disambiguated ID Type / Status
Subject Krammer E13954 entity
Predicate locatedNear P294 FINISHED
Object Grevelingen E16931 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: Grevelingen | Statement: [Krammer, locatedNear, Grevelingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grevelingen
Context triple: [Krammer, locatedNear, Grevelingen]
  • A. Grevelingen chosen
    Grevelingen is a large saltwater lake and former estuary in the southwestern Netherlands, known for its nature reserves, water sports, and role in the Delta Works coastal defense system.
  • B. Heinenoord
    Heinenoord is a village in the Dutch province of South Holland, known for its rural character and the nearby Heinenoord Tunnel under the Oude Maas river.
  • C. Veendam
    Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
  • D. Westerwolde
    Westerwolde is a rural region in the southeastern part of the Dutch province of Groningen, known for its wooded landscapes, historic villages, and nature reserves.
  • E. Teylingen
    Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0dd4afc81909e4e869356006f33 completed March 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7623e27c81909022abd9950753d1 completed March 7, 2026, 7:01 p.m.
Created at: March 1, 2026, 7:36 p.m.