Triple

T22019385
Position Surface form Disambiguated ID Type / Status
Subject Morat E543799 entity
Predicate locatedNear P294 FINISHED
Object Barbareta 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: Barbareta | Statement: [Morat, locatedNear, Barbareta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbareta
Context triple: [Morat, locatedNear, Barbareta]
  • A. Barbareta chosen
    Barbareta is a small, privately owned Caribbean island located in Honduras’s Bay Islands archipelago, known for its natural beauty and relative seclusion.
  • B. Barbar
    Barbar is a village in Bahrain known for its ancient Barbar Temple archaeological site, which dates back to the Dilmun civilization.
  • C. Barda
    Barda is a historic city that once served as a major political and cultural center in the region of Arran, in present-day Azerbaijan.
  • D. Barabaig
    Barabaig are a pastoralist ethnic subgroup of the Datooga people of north-central Tanzania, known for their cattle herding and distinct cultural traditions.
  • E. Marmilla
    Marmilla is a historic region in south-central Sardinia, Italy, known for its rolling hills, traditional villages, and numerous Nuragic archaeological sites.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c6b5fc8190bc49ddb058f28a44 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.