Triple

T19530974
Position Surface form Disambiguated ID Type / Status
Subject Belgian border near Hazeldonk E488650 entity
Predicate locatedNear P294 FINISHED
Object Hazeldonk
Hazeldonk is a small locality in the southern Netherlands known primarily as a major motorway service and customs area near the Belgian border.
 E1381478 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: Hazeldonk | Statement: [Belgian border near Hazeldonk, locatedNear, Hazeldonk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hazeldonk
Context triple: [Belgian border near Hazeldonk, locatedNear, Hazeldonk]
  • A. Harksheide
    Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
  • B. Holleken
    Holleken is a local railway station serving the suburban area near Brussels, Belgium.
  • C. Hazendal
    Hazendal is a residential suburb of Cape Town, South Africa, situated near Athlone on the Cape Flats.
  • D. Haaltert
    Haaltert is a municipality in the Belgian province of East Flanders, known for its rural character and location within the Denderstreek region.
  • E. Hackenholt
    Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
  • 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: Hazeldonk
Triple: [Belgian border near Hazeldonk, locatedNear, Hazeldonk]
Generated description
Hazeldonk is a small locality in the southern Netherlands known primarily as a major motorway service and customs area near the Belgian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hazeldonk
Target entity description: Hazeldonk is a small locality in the southern Netherlands known primarily as a major motorway service and customs area near the Belgian border.
  • A. Harksheide
    Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
  • B. Holleken
    Holleken is a local railway station serving the suburban area near Brussels, Belgium.
  • C. Hazendal
    Hazendal is a residential suburb of Cape Town, South Africa, situated near Athlone on the Cape Flats.
  • D. Haaltert
    Haaltert is a municipality in the Belgian province of East Flanders, known for its rural character and location within the Denderstreek region.
  • E. Hackenholt
    Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363ec6cc8190b9e9ac0196b288f9 completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e7b52d88190b0e095ce39d7a003 completed May 15, 2026, 4:48 p.m.
NEDg Description generation batch_6a074f6d79b88190a0b8442af2be0ed1 completed May 15, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_6a074fed47bc8190b1a78dcc50345ca4 completed May 15, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:41 p.m.