Triple

T22815494
Position Surface form Disambiguated ID Type / Status
Subject Namnetes E565085 entity
Predicate neighbouringTribe P11274 FINISHED
Object Andecavi 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: Andecavi | Statement: [Namnetes, neighbouringTribe, Andecavi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andecavi
Context triple: [Namnetes, neighbouringTribe, Andecavi]
  • A. Andecavi chosen
    Andecavi were an ancient Gallic tribe of western France, centered around the region of modern Angers in the Loire Valley.
  • B. Yocavil
    Yocavil is an indigenous group from the Diaguita cultural sphere, historically inhabiting parts of the Andean valleys in what is now northwestern Argentina.
  • C. Avogaya
    Avogaya is an alternative name for the Avokaya language, a Central Sudanic language spoken primarily in South Sudan and the Democratic Republic of the Congo.
  • D. Avelar
    Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
  • E. Anredera
    Anredera is a genus of flowering vines known for their twining growth habit and fleshy leaves, some species of which are cultivated as ornamentals or edible plants.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcb872881909a031d8560635fce completed April 29, 2026, 3:40 a.m.
Created at: April 17, 2026, 3:33 p.m.