Triple

T7790955
Position Surface form Disambiguated ID Type / Status
Subject Maio E180176 entity
Predicate hasSettlement P1068 FINISHED
Object Morro E390403 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: Morro | Statement: [Maio, hasSettlement, Morro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morro
Context triple: [Maio, hasSettlement, Morro]
  • A. Morro chosen
    Morro is a village located on the island of Maio in Cape Verde, known for its coastal setting and small-community character.
  • B. Morro Jable
    Morro Jable is a coastal resort town on the southern tip of Fuerteventura in Spain’s Canary Islands, known for its long sandy beaches and tourism.
  • C. Morro Hill
    Morro Hill is the elevated coastal promontory in Havana, Cuba, that serves as the strategic site of the historic Castillo del Morro fortress overlooking the entrance to Havana Bay.
  • D. Solares Hill
    Solares Hill is a modest natural rise in Key West, Florida, known as the highest point in the low-lying Florida Keys.
  • E. Guadalupe Hill
    Guadalupe Hill is a prominent hill in Bogotá, Colombia, known for its religious statue of the Virgin of Guadalupe and panoramic views of the city.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae9375dcc8190a6cb696c02aeceb7 completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13b38e708190a688ce4effbf7c48 completed March 31, 2026, 12:22 a.m.
Created at: March 30, 2026, 4:30 p.m.