Triple

T22749218
Position Surface form Disambiguated ID Type / Status
Subject Melhus E562643 entity
Predicate hasSettlement P1068 FINISHED
Object Lundamo
Lundamo is a small village in Trøndelag county, Norway, situated within the municipality of Melhus.
E1551429 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: Lundamo | Statement: [Melhus, hasSettlement, Lundamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lundamo
Context triple: [Melhus, hasSettlement, Lundamo]
  • A. Domaso
    Domaso is a picturesque lakeside town on the northern shore of Lake Como in Italy, known for its waterfront promenades, water sports, and scenic mountain backdrop.
  • B. Mundlana
    Mundlana is a town located in the Sonipat district of the northern Indian state of Haryana.
  • C. Luman
    Luman is a masculine given name of English origin, historically borne by figures such as the 19th-century American art patron Luman Reed.
  • D. Lobata
    Lobata is an administrative district on the island of São Tomé in the central African island nation of São Tomé and Príncipe.
  • E. Dolmar
    Dolmar is a prominent mountain in central Germany’s Thuringian region, known for its scenic landscapes and hiking opportunities near the town of Suhl.
  • 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: Lundamo
Triple: [Melhus, hasSettlement, Lundamo]
Generated description
Lundamo is a small village in Trøndelag county, Norway, situated within the municipality of Melhus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lundamo
Target entity description: Lundamo is a small village in Trøndelag county, Norway, situated within the municipality of Melhus.
  • A. Domaso
    Domaso is a picturesque lakeside town on the northern shore of Lake Como in Italy, known for its waterfront promenades, water sports, and scenic mountain backdrop.
  • B. Mundlana
    Mundlana is a town located in the Sonipat district of the northern Indian state of Haryana.
  • C. Luman
    Luman is a masculine given name of English origin, historically borne by figures such as the 19th-century American art patron Luman Reed.
  • D. Lobata
    Lobata is an administrative district on the island of São Tomé in the central African island nation of São Tomé and Príncipe.
  • E. Dolmar
    Dolmar is a prominent mountain in central Germany’s Thuringian region, known for its scenic landscapes and hiking opportunities near the town of Suhl.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b822988190b5368ac1f4e1d70a completed April 29, 2026, 3:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fd5c05c819091c2871dc9e4e9ca completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b90addad481909a69601ed3d50622 completed May 18, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0b9118ebd48190adf5e7fd47408dc7 completed May 18, 2026, 10:22 p.m.
Created at: April 17, 2026, 3:24 p.m.