Triple

T15243570
Position Surface form Disambiguated ID Type / Status
Subject Rana Municipality E364318 entity
Predicate contains P35 FINISHED
Object Hammeren
Hammeren is a small settlement located within Rana Municipality in Nordland county, Norway.
E1145499 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: Hammeren | Statement: [Rana Municipality, contains, Hammeren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammeren
Context triple: [Rana Municipality, contains, Hammeren]
  • A. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • B. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • C. Steenodde
    Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
  • D. Eggum
    Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
  • E. Jättendal
    Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
  • 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: Hammeren
Triple: [Rana Municipality, contains, Hammeren]
Generated description
Hammeren is a small settlement located within Rana Municipality in Nordland county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hammeren
Target entity description: Hammeren is a small settlement located within Rana Municipality in Nordland county, Norway.
  • A. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • B. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • C. Steenodde
    Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
  • D. Eggum
    Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
  • E. Jättendal
    Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007dcc33081908545ea1a1d2c19fe completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd461cf08190a506aac2f0cec83a completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf6ee3f081909553078cd3e9d243 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0016a088190ad87268e035f677e completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 3:13 a.m.