Triple

T22153950
Position Surface form Disambiguated ID Type / Status
Subject Berkelland E547484 entity
Predicate hasSettlement P1068 FINISHED
Object Noordijk
Noordijk is a small village in the municipality of Berkelland in the province of Gelderland in the eastern Netherlands.
E1525601 NE FINISHED

How this triple was built (4 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: Noordijk | Statement: [Berkelland, hasSettlement, Noordijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noordijk
Context triple: [Berkelland, hasSettlement, Noordijk]
  • A. Blaaksedijk
    Blaaksedijk is a small village in the Dutch province of South Holland, known for its rural character and location within the Hoeksche Waard region.
  • B. Noordoewer
    Noordoewer is a small border town in southern Namibia on the Orange River, serving as a key road crossing point into South Africa.
  • C. 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.
  • D. Noorderhaaks
    Noorderhaaks is a small, uninhabited sandbar island off the Dutch coast, forming the westernmost part of the West Frisian Islands archipelago.
  • E. Noordwolde
    Noordwolde is a village in the Dutch province of Friesland, known historically for its wickerwork industry and surrounding heath and woodland landscapes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Noordijk
Triple: [Berkelland, hasSettlement, Noordijk]
Generated description
Noordijk is a small village in the municipality of Berkelland in the province of Gelderland in the eastern Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Noordijk
Target entity description: Noordijk is a small village in the municipality of Berkelland in the province of Gelderland in the eastern Netherlands.
  • A. Blaaksedijk
    Blaaksedijk is a small village in the Dutch province of South Holland, known for its rural character and location within the Hoeksche Waard region.
  • B. Noordoewer
    Noordoewer is a small border town in southern Namibia on the Orange River, serving as a key road crossing point into South Africa.
  • C. 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.
  • D. Noorderhaaks
    Noorderhaaks is a small, uninhabited sandbar island off the Dutch coast, forming the westernmost part of the West Frisian Islands archipelago.
  • E. Noordwolde
    Noordwolde is a village in the Dutch province of Friesland, known historically for its wickerwork industry and surrounding heath and woodland landscapes.
  • F. None of above. chosen

Provenance (5 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae5d7ee08190966f49359ed5c452 completed May 18, 2026, 6:14 a.m.
NEDg Description generation batch_6a0aaf0f47948190b602d1016badc21c completed May 18, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab0befa5481909d00cb845dd67b12 completed May 18, 2026, 6:25 a.m.
Created at: April 16, 2026, 8:33 p.m.