Triple

T18675791
Position Surface form Disambiguated ID Type / Status
Subject KV Mechelen E456597 entity
Predicate homeVenue P105 FINISHED
Object Achter de Kazerne
Achter de Kazerne is a historic football stadium in Mechelen, Belgium, best known as the long-time home ground of KV Mechelen.
E1337564 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: Achter de Kazerne | Statement: [KV Mechelen, homeVenue, Achter de Kazerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Achter de Kazerne
Context triple: [KV Mechelen, homeVenue, Achter de Kazerne]
  • A. Oversticht
    Oversticht was a medieval territorial region in the northern Low Countries that roughly corresponds to much of the modern Dutch province of Overijssel and surrounding areas.
  • B. Het Posthuys
    Het Posthuys is one of the oldest surviving buildings in Muizenberg, South Africa, historically used as a post house and lookout during the early colonial period.
  • C. Hekelingen
    Hekelingen is a village in the Dutch province of South Holland, known as a small rural settlement near the town of Spijkenisse.
  • D. De Akkers
    De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
  • E. De ortolaan
    De ortolaan is a novel by Dutch author Maarten ’t Hart, known for its psychologically rich storytelling and exploration of human relationships.
  • 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: Achter de Kazerne
Triple: [KV Mechelen, homeVenue, Achter de Kazerne]
Generated description
Achter de Kazerne is a historic football stadium in Mechelen, Belgium, best known as the long-time home ground of KV Mechelen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Achter de Kazerne
Target entity description: Achter de Kazerne is a historic football stadium in Mechelen, Belgium, best known as the long-time home ground of KV Mechelen.
  • A. Oversticht
    Oversticht was a medieval territorial region in the northern Low Countries that roughly corresponds to much of the modern Dutch province of Overijssel and surrounding areas.
  • B. Het Posthuys
    Het Posthuys is one of the oldest surviving buildings in Muizenberg, South Africa, historically used as a post house and lookout during the early colonial period.
  • C. Hekelingen
    Hekelingen is a village in the Dutch province of South Holland, known as a small rural settlement near the town of Spijkenisse.
  • D. De Akkers
    De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
  • E. De ortolaan
    De ortolaan is a novel by Dutch author Maarten ’t Hart, known for its psychologically rich storytelling and exploration of human relationships.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b5a52c81908a71ac86544fb6aa completed April 19, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052353c80c8190a17c23eef9406fcf completed May 14, 2026, 1:20 a.m.
NEDg Description generation batch_6a0523e3c99481909f4371d74ad7c266 completed May 14, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0524461600819084dba49f65abf654 completed May 14, 2026, 1:24 a.m.
Created at: April 10, 2026, 11:48 a.m.