Triple

T14717170
Position Surface form Disambiguated ID Type / Status
Subject Eggon E345710 entity
Predicate neighboringEthnicGroup P11274 FINISHED
Object Alago E368489 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: Alago | Statement: [Eggon, neighboringEthnicGroup, Alago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alago
Context triple: [Eggon, neighboringEthnicGroup, Alago]
  • A. Alago chosen
    Alago are an ethnic group in central Nigeria, primarily found in Nasarawa State and known for their distinct language and cultural traditions.
  • B. Norte Grande
    Norte Grande is the arid, mineral-rich northern macroregion of Chile that encompasses much of the Atacama Desert and key mining areas.
  • C. Galoa
    Galoa is a small coastal village located on Kadavu Island in Fiji, known for its traditional Fijian lifestyle and surrounding natural beauty.
  • D. Vidigal
    Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
  • E. Paranhos
    Paranhos is a civil parish in the city of Porto, Portugal, known for its residential areas and several university and hospital facilities.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98688f48190b2b19ce7aa06a6db completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0935f088190b54f2e106532972a completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.