Triple

T9365925
Position Surface form Disambiguated ID Type / Status
Subject Irifiyen E225397 entity
Predicate hasSubregion P285 FINISHED
Object Central Rif E662350 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: Central Rif | Statement: [Irifiyen, hasSubregion, Central Rif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Rif
Context triple: [Irifiyen, hasSubregion, Central Rif]
  • A. central Rif chosen
    Central Rif is a mountainous region in northern Morocco that forms part of the larger Rif range and is home to various indigenous Amazigh (Berber) communities and languages.
  • B. Northern Range
    The Northern Range is a prominent mountain chain in northern Trinidad known for its forested peaks, biodiversity, and role as the island’s main watershed.
  • C. Montañas Centrales
    Montañas Centrales is a mountainous region in the Mexican state of Veracruz known for its highland landscapes, coffee-growing areas, and temperate climate.
  • D. Central Mam
    Central Mam is a major regional variety of the Mam Mayan language spoken primarily in the western highlands of Guatemala.
  • E. Central Range
    Central Range is the massive, rugged mountain backbone of New Guinea, stretching across the island and containing many of its highest peaks and diverse highland ecosystems.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5041261c81909edab3b7fcd1fe22 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3fbe7d481909712531d907b77d8 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:43 p.m.