Triple

T20666425
Position Surface form Disambiguated ID Type / Status
Subject Orkanger E507899 entity
Predicate postalCode P222 FINISHED
Object 7300 Orkanger
7300 Orkanger is the postal code designation for the town of Orkanger in Trøndelag county, Norway.
E1444597 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: 7300 Orkanger | Statement: [Orkanger, postalCode, 7300 Orkanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 7300 Orkanger
Context triple: [Orkanger, postalCode, 7300 Orkanger]
  • A. Øygardstøl
    Øygardstøl is a popular mountain lodge and trailhead in Norway that serves as the main starting point for hikes to the famous Kjeragbolten rock.
  • B. Kongsberg–Flesberg
    Kongsberg–Flesberg is a railway section in Norway connecting the town of Kongsberg with the municipality of Flesberg along the Numedal valley.
  • C. Sørenga terminal
    Sørenga terminal is a key cargo and logistics facility within the Port of Oslo, handling maritime freight operations for the Norwegian capital.
  • D. Hanevik
    Hanevik is a small village in western Norway located within Askøy Municipality in Vestland county.
  • E. Storlien
    Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
  • 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: 7300 Orkanger
Triple: [Orkanger, postalCode, 7300 Orkanger]
Generated description
7300 Orkanger is the postal code designation for the town of Orkanger in Trøndelag county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 7300 Orkanger
Target entity description: 7300 Orkanger is the postal code designation for the town of Orkanger in Trøndelag county, Norway.
  • A. Øygardstøl
    Øygardstøl is a popular mountain lodge and trailhead in Norway that serves as the main starting point for hikes to the famous Kjeragbolten rock.
  • B. Kongsberg–Flesberg
    Kongsberg–Flesberg is a railway section in Norway connecting the town of Kongsberg with the municipality of Flesberg along the Numedal valley.
  • C. Sørenga terminal
    Sørenga terminal is a key cargo and logistics facility within the Port of Oslo, handling maritime freight operations for the Norwegian capital.
  • D. Hanevik
    Hanevik is a small village in western Norway located within Askøy Municipality in Vestland county.
  • E. Storlien
    Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c39dd48190965d65537592aef6 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd5fc3e081909087414333b2615e completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d175eefc8190a5178c0f70f7d79f completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d23e8ac48190be1726c8e4913b1a completed May 16, 2026, 8:23 p.m.
Created at: April 16, 2026, 11:44 a.m.