Triple

T22154042
Position Surface form Disambiguated ID Type / Status
Subject Montferland E547486 entity
Predicate containsSettlement P847 FINISHED
Object Loerbeek
Loerbeek is a small village in the Dutch province of Gelderland, located within the municipality of Montferland.
E1525602 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: Loerbeek | Statement: [Montferland, containsSettlement, Loerbeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loerbeek
Context triple: [Montferland, containsSettlement, Loerbeek]
  • A. Loenersloot
    Loenersloot is a small village in the Dutch province of Utrecht, known for its historic Loenersloot Castle and rural setting along the river Vecht.
  • B. Zuunbeek
    Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • C. Leenderbos
    Leenderbos is a large forest and nature reserve in the Dutch province of North Brabant, known for its pine woods, heathlands, and walking and cycling trails.
  • D. Humbeek
    Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
  • E. Heurne
    Heurne is a small village in the municipality of Aalten in the Dutch province of Gelderland.
  • 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: Loerbeek
Triple: [Montferland, containsSettlement, Loerbeek]
Generated description
Loerbeek is a small village in the Dutch province of Gelderland, located within the municipality of Montferland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loerbeek
Target entity description: Loerbeek is a small village in the Dutch province of Gelderland, located within the municipality of Montferland.
  • A. Loenersloot
    Loenersloot is a small village in the Dutch province of Utrecht, known for its historic Loenersloot Castle and rural setting along the river Vecht.
  • B. Zuunbeek
    Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • C. Leenderbos
    Leenderbos is a large forest and nature reserve in the Dutch province of North Brabant, known for its pine woods, heathlands, and walking and cycling trails.
  • D. Humbeek
    Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
  • E. Heurne
    Heurne is a small village in the municipality of Aalten in the Dutch province of Gelderland.
  • 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.