Triple

T6426076
Position Surface form Disambiguated ID Type / Status
Subject Namdalen E128060 entity
Predicate containsMunicipality P852 FINISHED
Object Leka
Leka is a small island municipality in Trøndelag county, Norway, known for its distinctive geology and coastal landscape.
 E592936 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: Leka | Statement: [Namdalen, containsMunicipality, Leka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leka
Context triple: [Namdalen, containsMunicipality, Leka]
  • A. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • B. Lukiiko
    Lukiiko is the traditional legislative council of the Kingdom of Buganda, serving as its main representative and advisory assembly.
  • C. Lek
    The Lek is a major distributary branch of the Rhine River in the Netherlands, playing an important role in the country’s inland waterway network and flood management system.
  • D. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • E. Lessa
    Lessa is the fiercely determined and telepathically gifted heroine of Anne McCaffrey’s Dragonriders of Pern series, known for her bond with the golden queen dragon Ramoth and her pivotal role in saving Pern.
  • 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: Leka
Triple: [Namdalen, containsMunicipality, Leka]
Generated description
Leka is a small island municipality in Trøndelag county, Norway, known for its distinctive geology and coastal landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leka
Target entity description: Leka is a small island municipality in Trøndelag county, Norway, known for its distinctive geology and coastal landscape.
  • A. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • B. Lukiiko
    Lukiiko is the traditional legislative council of the Kingdom of Buganda, serving as its main representative and advisory assembly.
  • C. Lek
    The Lek is a major distributary branch of the Rhine River in the Netherlands, playing an important role in the country’s inland waterway network and flood management system.
  • D. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • E. Lessa
    Lessa is the fiercely determined and telepathically gifted heroine of Anne McCaffrey’s Dragonriders of Pern series, known for her bond with the golden queen dragon Ramoth and her pivotal role in saving Pern.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0691f944c81909d4e5d8ef9e494b6 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e339108190bbb74c688de574cc completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c644a514f48190832bd628a071be46 completed March 27, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69c64527d1f88190b3b6f9a455f4ffce completed March 27, 2026, 8:51 a.m.
Created at: March 22, 2026, 4:43 p.m.