Triple

T17316148
Position Surface form Disambiguated ID Type / Status
Subject Ameland E420428 entity
Predicate hasSettlement P1068 FINISHED
Object Hollum
Hollum is a village on the Dutch Wadden Sea island of Ameland, known for its historic lighthouse, traditional architecture, and coastal setting.
E1281353 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: Hollum | Statement: [Ameland, hasSettlement, Hollum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollum
Context triple: [Ameland, hasSettlement, Hollum]
  • A. Helleland
    Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
  • B. Tjørhom
    Tjørhom is a small village in southwestern Norway known for its mountainous landscape and proximity to popular skiing and outdoor recreation areas.
  • C. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • D. Holmsund
    Holmsund is a coastal locality in northern Sweden, known as a port town near Umeå on the Gulf of Bothnia.
  • E. Hellevik
    Hellevik is a small settlement located within the former municipality of Haram in Møre og Romsdal county, Norway.
  • 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: Hollum
Triple: [Ameland, hasSettlement, Hollum]
Generated description
Hollum is a village on the Dutch Wadden Sea island of Ameland, known for its historic lighthouse, traditional architecture, and coastal setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hollum
Target entity description: Hollum is a village on the Dutch Wadden Sea island of Ameland, known for its historic lighthouse, traditional architecture, and coastal setting.
  • A. Helleland
    Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
  • B. Tjørhom
    Tjørhom is a small village in southwestern Norway known for its mountainous landscape and proximity to popular skiing and outdoor recreation areas.
  • C. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • D. Holmsund
    Holmsund is a coastal locality in northern Sweden, known as a port town near Umeå on the Gulf of Bothnia.
  • E. Hellevik
    Hellevik is a small settlement located within the former municipality of Haram in Møre og Romsdal county, Norway.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399d2fcc81909916302f141e236b completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a021636611c81908321cb6d41488971 completed May 11, 2026, 5:47 p.m.
NEDg Description generation batch_6a021a6fbe1c8190a138c20917c13cfd completed May 11, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a021ac1dd1c81909a1a13bc0556a985 completed May 11, 2026, 6:06 p.m.
Created at: April 10, 2026, 5:43 a.m.