Triple

T12532821
Position Surface form Disambiguated ID Type / Status
Subject Isonzo River E299610 entity
Predicate region P40 FINISHED
Object Littoral region E541397 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: Littoral region | Statement: [Isonzo River, region, Littoral region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littoral region
Context triple: [Isonzo River, region, 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 (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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546b8fd48190ae90e80785b2e2d1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc8866c81908821525b595715e2 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.