Triple

T13502436
Position Surface form Disambiguated ID Type / Status
Subject Morten Meldal E320925 entity
Predicate familyName P18 FINISHED
Object Meldal E499195 NE FINISHED

How this triple was built (2 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: Meldal | Statement: [Morten Meldal, familyName, Meldal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meldal
Context triple: [Morten Meldal, familyName, Meldal]
  • A. Meldal chosen
    Meldal was a former municipality in Trøndelag county, Norway, known for its rural communities and historical mining activities before being merged into Orkland.
  • B. Sagene
    Sagene is a central district in Oslo, Norway, known for its historic industrial heritage along the Akerselva river and its mix of old workers’ housing and modern urban development.
  • C. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • D. Mosvik
    Mosvik was a former municipality in Trøndelag county, Norway, known for its rural landscape and coastal location along the Trondheimsfjord.
  • E. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf50f4a48190a44fc537b78c32fd completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d759fc81908c327850a4836ecd completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 9:43 p.m.