Triple

T14174736
Position Surface form Disambiguated ID Type / Status
Subject Sigatoka E351302 entity
Predicate gatewayTo P423 FINISHED
Object Coral Coast E347664 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: Coral Coast | Statement: [Sigatoka, gatewayTo, Coral Coast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coral Coast
Context triple: [Sigatoka, gatewayTo, Coral Coast]
  • A. Coral Coast chosen
    Coral Coast is a popular stretch of Fiji’s southern coastline known for its beaches, coral reefs, and resort tourism.
  • B. Emerald Coast
    Emerald Coast is a popular stretch of Florida’s Gulf Coast famed for its white-sand beaches and clear emerald-green waters.
  • C. Dolphin Coast
    Dolphin Coast is a major Georgia Aquarium exhibit featuring bottlenose dolphins in a large, interactive marine habitat with educational presentations and shows.
  • D. Coconut Coast
    Coconut Coast is a scenic region on the eastern shore of Kauai, Hawaii, known for its coconut palm–lined beaches, resorts, and coastal towns.
  • E. Opal Coast
    The Opal Coast is a scenic stretch of northern French shoreline along the English Channel, known for its dramatic cliffs, sandy beaches, and seaside resorts.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80a9b34819081c4ebf7429e875a completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:02 a.m.