Triple

T2001740
Position Surface form Disambiguated ID Type / Status
Subject Vandals E43485 entity
Predicate settledIn P156 FINISHED
Object Baetica E25109 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: Baetica | Statement: [Vandals, settledIn, Baetica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baetica
Context triple: [Vandals, settledIn, Baetica]
  • A. Celtiberia
    Celtiberia was an ancient region of the Iberian Peninsula inhabited by Celtic-speaking tribes who blended Celtic and Iberian cultural elements.
  • B. Andalusia chosen
    Andalusia is a historic region in southern Spain renowned for its rich Islamic heritage, distinctive architecture, and lasting cultural influence from centuries of Muslim rule.
  • C. Andalusia
    Andalusia is a small city in southern Alabama known as the county seat of Covington County and for its historic downtown and regional festivals.
  • D. Aragon
    Aragon is an autonomous community in northeastern Spain, historically significant as a former kingdom and as a key battleground region during major conflicts such as the Spanish Civil War.
  • E. Alicante region
    The Alicante region is a coastal area in southeastern Spain, known for its Mediterranean beaches, tourism, and role as part of the historical Kingdom of Valencia.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb880c710819098fb877052ce56dc completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0342ef8c8190b7771076282981c3 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.