Triple

T18133776
Position Surface form Disambiguated ID Type / Status
Subject West Betuwe E434083 entity
Predicate formedByMergerOf P77 FINISHED
Object Neerijnen
Neerijnen was a former municipality in the Dutch province of Gelderland, known for its rural landscape, historic estates, and location along the river Waal before being merged into West Betuwe.
 E1308829 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: Neerijnen | Statement: [West Betuwe, formedByMergerOf, Neerijnen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neerijnen
Context triple: [West Betuwe, formedByMergerOf, Neerijnen]
  • A. Nazairien
    Nazairien is the French demonym for an inhabitant of the coastal city of Saint-Nazaire in western France.
  • B. Nazaire
    Nazaire is a masculine given name of French origin, historically borne by figures such as the revolutionary-era writer and politician Fabre d’Églantine.
  • C. Nige
    Nige is a familiar shortened form of the given name Nigel, often used as an informal nickname.
  • D. Balanda
    Balanda is the former name of the Russian town now known as Krasnoarmeysk in Saratov Oblast.
  • E. Zeerijp
    Zeerijp is a small village in the province of Groningen in the Netherlands, known for its historic church and traditional rural character.
  • 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: Neerijnen
Triple: [West Betuwe, formedByMergerOf, Neerijnen]
Generated description
Neerijnen was a former municipality in the Dutch province of Gelderland, known for its rural landscape, historic estates, and location along the river Waal before being merged into West Betuwe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neerijnen
Target entity description: Neerijnen was a former municipality in the Dutch province of Gelderland, known for its rural landscape, historic estates, and location along the river Waal before being merged into West Betuwe.
  • A. Nazairien
    Nazairien is the French demonym for an inhabitant of the coastal city of Saint-Nazaire in western France.
  • B. Nazaire
    Nazaire is a masculine given name of French origin, historically borne by figures such as the revolutionary-era writer and politician Fabre d’Églantine.
  • C. Nige
    Nige is a familiar shortened form of the given name Nigel, often used as an informal nickname.
  • D. Balanda
    Balanda is the former name of the Russian town now known as Krasnoarmeysk in Saratov Oblast.
  • E. Zeerijp
    Zeerijp is a small village in the province of Groningen in the Netherlands, known for its historic church and traditional rural character.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de04321c81909c0b9d47757720fd completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0385489c3c8190b7e20d6c8c75ea16 completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a038acaf8f48190b88562c0a1df9109 completed May 12, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_6a038b4132bc8190992cae1400894fef completed May 12, 2026, 8:19 p.m.
Created at: April 10, 2026, 10:29 a.m.