Triple

T17316149
Position Surface form Disambiguated ID Type / Status
Subject Ameland E420428 entity
Predicate hasSettlement P1068 FINISHED
Object Nes
Nes is a village on the Dutch Wadden Sea island of Ameland, known for its historic center and coastal tourism.
 E1260987 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: Nes | Statement: [Ameland, hasSettlement, Nes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nes
Context triple: [Ameland, hasSettlement, Nes]
  • A. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • B. Nes
    Nes is a municipality in Viken county, Norway, known for its agricultural landscape and location along the Glomma River.
  • C. NES
    NES is a web server software product developed by Netscape for hosting and managing websites and web applications.
  • D. NES
    NES is the vehicle registration code used on license plates for the Rhön-Grabfeld district in northern Bavaria, Germany.
  • E. Thisnes
    Thisnes is a village in the municipality of Hannut in the province of Liège, Belgium.
  • 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: Nes
Triple: [Ameland, hasSettlement, Nes]
Generated description
Nes is a village on the Dutch Wadden Sea island of Ameland, known for its historic center and coastal tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nes
Target entity description: Nes is a village on the Dutch Wadden Sea island of Ameland, known for its historic center and coastal tourism.
  • A. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • B. Nes
    Nes is a municipality in Viken county, Norway, known for its agricultural landscape and location along the Glomma River.
  • C. NES
    NES is a web server software product developed by Netscape for hosting and managing websites and web applications.
  • D. NES
    NES is the vehicle registration code used on license plates for the Rhön-Grabfeld district in northern Bavaria, Germany.
  • E. Thisnes
    Thisnes is a village in the municipality of Hannut in the province of Liège, Belgium.
  • 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_6a0180e8cfd88190a105b778e5b9e864 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0181c89e3081909b3acea495bb4d7f completed May 11, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_6a018291cce48190897f0d0bcbae4d71 completed May 11, 2026, 7:17 a.m.
Created at: April 10, 2026, 5:43 a.m.