Triple

T17199101
Position Surface form Disambiguated ID Type / Status
Subject Dokkumer Ee E417429 entity
Predicate hasNameOrigin P3325 FINISHED
Object city of Dokkum
The city of Dokkum is a historic Frisian town in the Netherlands, known as one of the country’s northernmost fortified cities and a traditional trading and pilgrimage center.
E1256611 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: city of Dokkum | Statement: [Dokkumer Ee, hasNameOrigin, city of Dokkum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Dokkum
Context triple: [Dokkumer Ee, hasNameOrigin, city of Dokkum]
  • A. Sneek
    Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
  • B. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • C. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • D. Slochteren
    Slochteren is a village and former municipality in the province of Groningen in the Netherlands, historically known for its large natural gas field.
  • E. Spaarndam
    Spaarndam is a historic Dutch village in North Holland, known for its old sluices and dikes along the river Spaarne and its traditional waterfront charm.
  • 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: city of Dokkum
Triple: [Dokkumer Ee, hasNameOrigin, city of Dokkum]
Generated description
The city of Dokkum is a historic Frisian town in the Netherlands, known as one of the country’s northernmost fortified cities and a traditional trading and pilgrimage center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: city of Dokkum
Target entity description: The city of Dokkum is a historic Frisian town in the Netherlands, known as one of the country’s northernmost fortified cities and a traditional trading and pilgrimage center.
  • A. Sneek
    Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
  • B. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • C. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • D. Slochteren
    Slochteren is a village and former municipality in the province of Groningen in the Netherlands, historically known for its large natural gas field.
  • E. Spaarndam
    Spaarndam is a historic Dutch village in North Holland, known for its old sluices and dikes along the river Spaarne and its traditional waterfront charm.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42daca29081909837494d8d516634 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd7ef048190b0828ec6ea0e119c completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a01636d8f008190975bcd8d9124ec88 completed May 11, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0163d510908190906a3b186e840688 completed May 11, 2026, 5:06 a.m.
Created at: April 10, 2026, 5:38 a.m.