Triple

T19937743
Position Surface form Disambiguated ID Type / Status
Subject Taboga Island E479217 entity
Predicate municipality P852 FINISHED
Object Taboga 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: Taboga | Statement: [Taboga Island, municipality, Taboga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taboga
Context triple: [Taboga Island, municipality, Taboga]
  • A. Taboga chosen
    Taboga is a small island town in the Gulf of Panama, known for its beaches, colonial-era charm, and role as a popular day-trip destination from Panama City.
  • B. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • C. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • D. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • E. Jarabulus
    Jarabulus is a strategically important Syrian border town on the Euphrates River, opposite Turkey’s Gaziantep province, that has been a focal point of military operations and cross-border control in the Syrian conflict.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a190ac08190b9dc7955c9764a71 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.