Triple

T15612331
Position Surface form Disambiguated ID Type / Status
Subject Manyara Region E375327 entity
Predicate ethnicGroup P194 FINISHED
Object Barabaig E892744 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: Barabaig | Statement: [Manyara Region, ethnicGroup, Barabaig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barabaig
Context triple: [Manyara Region, ethnicGroup, Barabaig]
  • A. Barabaig chosen
    Barabaig are a pastoralist ethnic subgroup of the Datooga people of north-central Tanzania, known for their cattle herding and distinct cultural traditions.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Baduila
    Baduila, better known as Totila, was a 6th-century king of the Ostrogoths who led their resurgence in Italy during the Gothic War against the Byzantine Empire.
  • D. Barbareta
    Barbareta is a small, privately owned Caribbean island located in Honduras’s Bay Islands archipelago, known for its natural beauty and relative seclusion.
  • E. Báguanos
    Báguanos is a municipality in eastern Cuba located in the province of Holguín, known for its agricultural activities and rural communities.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8148a0819087d6d69cc84487ca completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d91f208190a11f0d208970145b completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.