Triple

T17159457
Position Surface form Disambiguated ID Type / Status
Subject Raduc, Lika E416438 entity
Predicate locatedIn P40 FINISHED
Object Lika region E100023 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: Lika region | Statement: [Raduc, Lika, locatedIn, Lika region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lika region
Context triple: [Raduc, Lika, locatedIn, Lika region]
  • A. Lika region chosen
    The Lika region is a mountainous and sparsely populated area of central Croatia known for its karst landscapes, forests, and traditional rural culture.
  • B. Sijilmasa region
    The Sijilmasa region is a historic area in southeastern Morocco centered on the medieval oasis city of Sijilmasa, once a major trans-Saharan trade hub and early base of the Alaouite dynasty.
  • C. Karas Region
    Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
  • D. Tumapel region
    The Tumapel region was a historical area in East Java that became the power base of Ken Angrok and the cradle of the Singhasari kingdom in early Javanese history.
  • E. Heidiland region
    The Heidiland region is a popular tourist area in eastern Switzerland known for its scenic Alpine landscapes and its association with Johanna Spyri’s “Heidi” stories.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9103e3881908e76cea1c4880779 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148376bc081908372366203a27fa8 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.