Triple

T400808
Position Surface form Disambiguated ID Type / Status
Subject Halden E9275 entity
Predicate locatedOn P40 FINISHED
Object Iddefjord
Iddefjord is a narrow fjord forming part of the border between Norway and Sweden, known for its scenic landscapes and proximity to the town of Halden.
 E54041 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: Iddefjord | Statement: [Halden, locatedOn, Iddefjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iddefjord
Context triple: [Halden, locatedOn, Iddefjord]
  • A. Oslofjord
    Oslofjord is a large inlet in southeastern Norway known for its islands, coastal towns, and role as the maritime gateway to Oslo.
  • B. Jøssingfjord
    Jøssingfjord is a narrow fjord on the southwestern coast of Norway, historically notable as the site of the 1940 Altmark Incident during World War II.
  • C. Kattegat
    Kattegat is a shallow sea area and strait between Denmark and Sweden that forms a key maritime passage linking the North Sea with the Baltic Sea.
  • D. Egegik
    Egegik is a dialect of the Central Alaskan Yup’ik language traditionally spoken in the Egegik region of southwestern Alaska.
  • E. Savo Sound
    Savo Sound is an area of ocean off Guadalcanal in the Solomon Islands that became infamous as a major naval battleground during World War II.
  • 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: Iddefjord
Triple: [Halden, locatedOn, Iddefjord]
Generated description
Iddefjord is a narrow fjord forming part of the border between Norway and Sweden, known for its scenic landscapes and proximity to the town of Halden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iddefjord
Target entity description: Iddefjord is a narrow fjord forming part of the border between Norway and Sweden, known for its scenic landscapes and proximity to the town of Halden.
  • A. Oslofjord
    Oslofjord is a large inlet in southeastern Norway known for its islands, coastal towns, and role as the maritime gateway to Oslo.
  • B. Jøssingfjord
    Jøssingfjord is a narrow fjord on the southwestern coast of Norway, historically notable as the site of the 1940 Altmark Incident during World War II.
  • C. Kattegat
    Kattegat is a shallow sea area and strait between Denmark and Sweden that forms a key maritime passage linking the North Sea with the Baltic Sea.
  • D. Egegik
    Egegik is a dialect of the Central Alaskan Yup’ik language traditionally spoken in the Egegik region of southwestern Alaska.
  • E. Savo Sound
    Savo Sound is an area of ocean off Guadalcanal in the Solomon Islands that became infamous as a major naval battleground during World War II.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8e655c819081eff85c0ef55fa5 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f5ff0608190909be378b1871327 completed March 1, 2026, 12:21 p.m.
NEDg Description generation batch_69a42fed85f881908f7f2dc212d0237f completed March 1, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_69a4307813388190ae86d78af876c963 completed March 1, 2026, 12:26 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.