Triple

T23020569
Position Surface form Disambiguated ID Type / Status
Subject Edam-Volendam E573150 entity
Predicate hasDemonym P191 FINISHED
Object Volendammer
Volendammer is the term for a resident or native of the Dutch fishing village and tourist town of Volendam in North Holland.
E1590318 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: Volendammer | Statement: [Edam-Volendam, hasDemonym, Volendammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volendammer
Context triple: [Edam-Volendam, hasDemonym, Volendammer]
  • A. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • B. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • C. Muntendam
    Muntendam is a village in the Dutch province of Groningen, now administratively part of the municipality of Midden-Groningen.
  • D. Wieringen
    Wieringen is a former island and historical region in the Dutch province of North Holland, known for its coastal landscape and role in major water management projects like the Afsluitdijk.
  • E. Oudelande
    Oudelande is a small village in the Dutch province of Zeeland, known for its rural character and traditional polder landscape.
  • 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: Volendammer
Triple: [Edam-Volendam, hasDemonym, Volendammer]
Generated description
Volendammer is the term for a resident or native of the Dutch fishing village and tourist town of Volendam in North Holland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Volendammer
Target entity description: Volendammer is the term for a resident or native of the Dutch fishing village and tourist town of Volendam in North Holland.
  • A. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • B. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • C. Muntendam
    Muntendam is a village in the Dutch province of Groningen, now administratively part of the municipality of Midden-Groningen.
  • D. Wieringen
    Wieringen is a former island and historical region in the Dutch province of North Holland, known for its coastal landscape and role in major water management projects like the Afsluitdijk.
  • E. Oudelande
    Oudelande is a small village in the Dutch province of Zeeland, known for its rural character and traditional polder landscape.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e8324c81908b8868d298af66e1 completed April 29, 2026, 4:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf25682081908ff6ee0b898a861a completed May 19, 2026, 10:07 p.m.
NEDg Description generation batch_6a0ce0ed1cb881909a1ce386d406b824 completed May 19, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce1a37b288190b4e9775e8be23ea9 completed May 19, 2026, 10:18 p.m.
Created at: April 17, 2026, 3:52 p.m.