Triple

T9959270
Position Surface form Disambiguated ID Type / Status
Subject Spanish Army of Africa E195524 entity
Predicate composedOf P402 FINISHED
Object Regulares E36893 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: Regulares | Statement: [Spanish Army of Africa, composedOf, Regulares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regulares
Context triple: [Spanish Army of Africa, composedOf, Regulares]
  • A. Regulares chosen
    Regulares are elite light infantry units of the Spanish Army historically composed of indigenous Moroccan soldiers led by Spanish officers, renowned for their role in colonial campaigns and the Spanish Civil War.
  • B. Comum
    Comum, known today as Como, is an ancient town in northern Italy near Lake Como that was an important Roman settlement and later a notable medieval and Renaissance center.
  • C. Normal
    Normal is a central Illinois town best known as the home of Illinois State University and part of the twin-city community with Bloomington.
  • D. Normal
    Normal is a Mexico City Metro station on Line 2 that serves the San Rafael neighborhood near several educational institutions.
  • E. Everage
    Everage is the fictional surname of the Australian housewife-turned-megastar character Dame Edna, created and performed by comedian Barry Humphries.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d08fdc8190a77b9c97830035bc completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d867b408190ab630ae4af0fb827 completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:46 p.m.