Triple

T7822939
Position Surface form Disambiguated ID Type / Status
Subject Granma Province E181175 entity
Predicate hasMunicipality P847 FINISHED
Object Media Luna E695153 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: Media Luna | Statement: [Granma Province, hasMunicipality, Media Luna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Media Luna
Context triple: [Granma Province, hasMunicipality, Media Luna]
  • A. Media Luna chosen
    Media Luna is a coastal town and municipality in southeastern Cuba known for its location in Granma Province along the Gulf of Guacanayabo.
  • B. Amazon Luna
    Amazon Luna is a cloud-based game streaming platform that lets users play a library of video games on various devices via the internet without needing dedicated gaming hardware.
  • C. Luneta
    Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
  • D. Lunan
    Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
  • E. Newswipe
    Newswipe is a British satirical television series created and presented by Charlie Brooker that critiques and deconstructs modern news media.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa095d7081908b3e492ce58b5d5f completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a66c1c0819087ce9890f28bb022 completed March 31, 2026, 5:23 a.m.
Created at: March 30, 2026, 4:42 p.m.