Triple

T18133799
Position Surface form Disambiguated ID Type / Status
Subject West Betuwe E434083 entity
Predicate hasSettlement P1068 FINISHED
Object Meteren
Meteren is a village in the Dutch province of Gelderland, located within the municipality of West Betuwe.
 E1308833 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: Meteren | Statement: [West Betuwe, hasSettlement, Meteren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meteren
Context triple: [West Betuwe, hasSettlement, Meteren]
  • A. Metera
    Metera is an important archaeological site in Eritrea known for its ancient ruins and inscriptions reflecting the region’s early civilizations.
  • B. Metter
    The Metter is a river in Germany that flows through the state of Baden-Württemberg and ultimately joins the Enz River.
  • C. Mētriena
    Mētriena is a village and administrative unit in eastern Latvia, located within Madona Municipality.
  • D. Mettet
    Mettet is a municipality in Wallonia, Belgium, known for its rural character and the Circuit Jules Tacheny motor racing track.
  • E. Merkert
    Merkert is the namesake of the Merkert Chemistry Center, likely a notable figure associated with the field of chemistry or the institution that houses the center.
  • 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: Meteren
Triple: [West Betuwe, hasSettlement, Meteren]
Generated description
Meteren is a village in the Dutch province of Gelderland, located within the municipality of West Betuwe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meteren
Target entity description: Meteren is a village in the Dutch province of Gelderland, located within the municipality of West Betuwe.
  • A. Metera
    Metera is an important archaeological site in Eritrea known for its ancient ruins and inscriptions reflecting the region’s early civilizations.
  • B. Metter
    The Metter is a river in Germany that flows through the state of Baden-Württemberg and ultimately joins the Enz River.
  • C. Mētriena
    Mētriena is a village and administrative unit in eastern Latvia, located within Madona Municipality.
  • D. Mettet
    Mettet is a municipality in Wallonia, Belgium, known for its rural character and the Circuit Jules Tacheny motor racing track.
  • E. Merkert
    Merkert is the namesake of the Merkert Chemistry Center, likely a notable figure associated with the field of chemistry or the institution that houses the center.
  • 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_69e4de055c608190a090c2737904e5f9 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.