Triple

T19164930
Position Surface form Disambiguated ID Type / Status
Subject Ilha do Maio E469154 entity
Predicate hasSettlement P1068 FINISHED
Object Morro 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: Morro | Statement: [Ilha do Maio, hasSettlement, Morro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morro
Context triple: [Ilha do 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. Morros
    Morros is the surname of Boris Morros, a Russian-born American film producer and double agent involved in Cold War espionage.
  • D. 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.
  • E. Los Cerros
    Los Cerros is a residential and commercial neighborhood within the Chapinero locality of Bogotá, Colombia, known for its hillside setting near the Eastern Hills.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15e2720819084b1707497db26a2 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.