Triple

T8073506
Position Surface form Disambiguated ID Type / Status
Subject Region Nordjylland E188433 entity
Predicate containsIsland P970 FINISHED
Object Mors E669129 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: Mors | Statement: [Region Nordjylland, containsIsland, Mors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mors
Context triple: [Region Nordjylland, containsIsland, Mors]
  • A. Mors chosen
    Mors is a large Danish island in the Limfjord, known for its varied coastal landscapes, agricultural areas, and the town of Nykøbing Mors.
  • B. Mór
    Mór is a town in central Hungary known for its wine production and location between the Vértes and Bakony hills.
  • C. Mure
    Mure is a Scottish surname historically associated with Lowland families and often considered a variant of or related to the name Muir.
  • D. Mnajdra
    Mnajdra is an ancient megalithic temple complex on Malta’s southern coast, renowned for its prehistoric architecture and astronomical alignments.
  • E. Minskov
    Minskov is a supporting character in the French crime drama film "The Beat That My Heart Skipped," involved in the criminal underworld that complicates the protagonist's life.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63ecb04881909b1849dc4ef7c2bc completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:27 p.m.