Triple

T2685014
Position Surface form Disambiguated ID Type / Status
Subject Peperga E57463 entity
Predicate locatedNear P294 FINISHED
Object Wolvega
Wolvega is a town in the Dutch province of Friesland, known as the administrative center of the municipality of Weststellingwerf.
 E287538 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: Wolvega | Statement: [Peperga, locatedNear, Wolvega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wolvega
Context triple: [Peperga, locatedNear, Wolvega]
  • A. Vegueta
    Vegueta is the historic old quarter of Las Palmas de Gran Canaria, known for its colonial architecture, cobbled streets, and cultural landmarks.
  • B. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • C. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • D. Huerva
    The Huerva is a river in northeastern Spain that flows through the province of Zaragoza before joining the Ebro River.
  • E. Cogua
    Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
  • 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: Wolvega
Triple: [Peperga, locatedNear, Wolvega]
Generated description
Wolvega is a town in the Dutch province of Friesland, known as the administrative center of the municipality of Weststellingwerf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wolvega
Target entity description: Wolvega is a town in the Dutch province of Friesland, known as the administrative center of the municipality of Weststellingwerf.
  • A. Vegueta
    Vegueta is the historic old quarter of Las Palmas de Gran Canaria, known for its colonial architecture, cobbled streets, and cultural landmarks.
  • B. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • C. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • D. Huerva
    The Huerva is a river in northeastern Spain that flows through the province of Zaragoza before joining the Ebro River.
  • E. Cogua
    Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9edba5c8190b86d6cba0f1964e2 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0700d548190944544495a2d42f6 completed March 10, 2026, 4:39 a.m.
NEDg Description generation batch_69afa1196aac81909b25557dff5acf5e completed March 10, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69afa1ab8da8819090af3ed60b417040 completed March 10, 2026, 4:44 a.m.
Created at: March 6, 2026, 9:54 p.m.