Triple

T18067118
Position Surface form Disambiguated ID Type / Status
Subject Otočac E432320 entity
Predicate isAccessPointTo P26211 FINISHED
Object Lika region NE NERFINISHED

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: [Otočac, isAccessPointTo, Lika region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lika region
Context triple: [Otočac, isAccessPointTo, 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 (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce97ce08190a2f8762ce545e091 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.