Triple

T7614561
Position Surface form Disambiguated ID Type / Status
Subject Hope Bay E172327 entity
Predicate hasNearbyFeature P350 FINISHED
Object Bergneset
Bergneset is a coastal headland in Antarctica located near Hope Bay on the Trinity Peninsula.
E679539 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: Bergneset | Statement: [Hope Bay, hasNearbyFeature, Bergneset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergneset
Context triple: [Hope Bay, hasNearbyFeature, Bergneset]
  • A. Strynø
    Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
  • B. Strømsø
    Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
  • C. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • D. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • E. Snogebæk
    Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
  • 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: Bergneset
Triple: [Hope Bay, hasNearbyFeature, Bergneset]
Generated description
Bergneset is a coastal headland in Antarctica located near Hope Bay on the Trinity Peninsula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bergneset
Target entity description: Bergneset is a coastal headland in Antarctica located near Hope Bay on the Trinity Peninsula.
  • A. Strynø
    Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
  • B. Strømsø
    Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
  • C. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • D. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • E. Snogebæk
    Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4392e881908ed1ab3f64b41600 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aa7b264819096ddeda8e4c5ddb4 completed March 29, 2026, 3:21 a.m.
NEDg Description generation batch_69c89d0b32848190921807e453474ec6 completed March 29, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69c89d6b75b881908886ea9505c0b582 completed March 29, 2026, 3:32 a.m.
Created at: March 27, 2026, 3:55 p.m.