Triple

T2161125
Position Surface form Disambiguated ID Type / Status
Subject Agadir E46802 entity
Predicate hasBeach P1922 FINISHED
Object Agadir Beach E46802 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: Agadir Beach | Statement: [Agadir, hasBeach, Agadir Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agadir Beach
Context triple: [Agadir, hasBeach, Agadir Beach]
  • A. Labadi Beach
    Labadi Beach is one of Ghana’s most popular and lively coastal beaches, known for its vibrant nightlife, music, and cultural events near Accra.
  • B. Nador
    Nador is a coastal city in northeastern Morocco known as an important commercial and fishing port on the Mediterranean.
  • C. Playa de la Francesa
    Playa de la Francesa is a tranquil, sandy beach on the small Canary Island of La Graciosa, known for its clear waters and views of nearby Lanzarote.
  • D. Agadir chosen
    Agadir is a major coastal city in southwestern Morocco known for its Atlantic beaches, modern resort infrastructure, and role as a key tourist destination.
  • E. Lamiya Bay Beach
    Lamiya Bay Beach is a scenic, relatively secluded beach on North Andaman Island in India, known for its natural beauty and tranquil atmosphere.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe89e6ac8190b4b4bc0be4fe7aa9 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58ec0a7481909bc3e751de31e4d7 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.