Triple

T13544078
Position Surface form Disambiguated ID Type / Status
Subject Stichtse Vecht E323466 entity
Predicate formedByMergerOf P77 FINISHED
Object Loenen
Loenen was a former Dutch municipality in the province of Utrecht that later became part of the municipality of Stichtse Vecht.
E1458827 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: Loenen | Statement: [Stichtse Vecht, formedByMergerOf, Loenen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loenen
Context triple: [Stichtse Vecht, formedByMergerOf, Loenen]
  • A. Valkenswaard
    Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
  • B. Eeklo
    Eeklo is a small city and municipality in northwestern Belgium known for its historic town center and location in the Flemish region.
  • C. Leerdam
    Leerdam is a Dutch city renowned for its glassmaking tradition, located in the province of South Holland.
  • D. Nijverdal
    Nijverdal is a town in the Dutch province of Overijssel known as a gateway to the Sallandse Heuvelrug National Park and its surrounding natural landscapes.
  • E. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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: Loenen
Triple: [Stichtse Vecht, formedByMergerOf, Loenen]
Generated description
Loenen was a former Dutch municipality in the province of Utrecht that later became part of the municipality of Stichtse Vecht.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loenen
Target entity description: Loenen was a former Dutch municipality in the province of Utrecht that later became part of the municipality of Stichtse Vecht.
  • A. Valkenswaard
    Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
  • B. Eeklo
    Eeklo is a small city and municipality in northwestern Belgium known for its historic town center and location in the Flemish region.
  • C. Leerdam
    Leerdam is a Dutch city renowned for its glassmaking tradition, located in the province of South Holland.
  • D. Nijverdal
    Nijverdal is a town in the Dutch province of Overijssel known as a gateway to the Sallandse Heuvelrug National Park and its surrounding natural landscapes.
  • E. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09276e98588190ad3bdb9d04a19584 completed May 17, 2026, 2:26 a.m.
NEDg Description generation batch_6a0928a53e3c8190a8e636f5f1387f73 completed May 17, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0929485ebc8190ab8bc316b3e802ca completed May 17, 2026, 2:34 a.m.
Created at: April 9, 2026, 9:45 p.m.