Triple

T18471160
Position Surface form Disambiguated ID Type / Status
Subject Seča E451303 entity
Predicate countrySubdivision P766 FINISHED
Object Littoral 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: Littoral region | Statement: [Seča, countrySubdivision, Littoral region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littoral region
Context triple: [Seča, countrySubdivision, Littoral region]
  • A. Littoral Region
    The Littoral Region is a coastal administrative region of Cameroon that includes the major economic hub and port city of Douala.
  • B. Littoral chosen
    Littoral is a historical coastal region of the former Austro-Hungarian Empire along the northeastern Adriatic Sea, encompassing parts of present-day Italy, Slovenia, and Croatia.
  • C. Maritime Region
    Maritime Region is an administrative region in southern Togo that includes the national capital Lomé and serves as the country’s main coastal and economic hub.
  • D. Marine Region
    Marine Region is the seagoing branch of the Hong Kong Police Force responsible for law enforcement, search and rescue, and maritime security within Hong Kong waters.
  • E. Coast of Bays region
    The Coast of Bays region is a coastal area in southern Newfoundland, Canada, known for its rugged shoreline, small fishing communities, and reliance on the fishing and aquaculture industries.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5305f428c81909980bd30d150e7dd completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.