Triple

T7544509
Position Surface form Disambiguated ID Type / Status
Subject A1 motorway E178363 entity
Predicate passesNear P416 FINISHED
Object Hoevelaken
Hoevelaken is a town in the Dutch province of Gelderland, known as a local transport hub near the junction of major motorways.
E672222 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: Hoevelaken | Statement: [A1 motorway, passesNear, Hoevelaken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoevelaken
Context triple: [A1 motorway, passesNear, Hoevelaken]
  • A. Loden
    Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
  • B. Saalhof
    Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
  • C. Haasgat
    Haasgat is a fossil-bearing cave site in South Africa known for its valuable paleoanthropological and paleontological remains.
  • D. Nordecke
    Nordecke is the passionate supporters’ section of Major League Soccer club Columbus Crew, known for its loud atmosphere, coordinated chants, and vibrant matchday displays.
  • E. Braunlage
    Braunlage is a German town and ski resort in the Harz Mountains, known for its winter sports, hiking opportunities, and scenic natural surroundings.
  • 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: Hoevelaken
Triple: [A1 motorway, passesNear, Hoevelaken]
Generated description
Hoevelaken is a town in the Dutch province of Gelderland, known as a local transport hub near the junction of major motorways.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hoevelaken
Target entity description: Hoevelaken is a town in the Dutch province of Gelderland, known as a local transport hub near the junction of major motorways.
  • A. Loden
    Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
  • B. Saalhof
    Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
  • C. Haasgat
    Haasgat is a fossil-bearing cave site in South Africa known for its valuable paleoanthropological and paleontological remains.
  • D. Nordecke
    Nordecke is the passionate supporters’ section of Major League Soccer club Columbus Crew, known for its loud atmosphere, coordinated chants, and vibrant matchday displays.
  • E. Braunlage
    Braunlage is a German town and ski resort in the Harz Mountains, known for its winter sports, hiking opportunities, and scenic natural surroundings.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f898069881909fa8f9c885c4565b completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f21aa5c819085e8d1ecbd9b01e3 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c852da8c048190b2a0696f2e7b65c1 completed March 28, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69c853958b748190b4ecc9797389cc85 completed March 28, 2026, 10:17 p.m.
Created at: March 27, 2026, 3:48 p.m.