Triple

T13922995
Position Surface form Disambiguated ID Type / Status
Subject King of Aquitaine E334790 entity
Predicate capital P234 FINISHED
Object Toulouse E16066 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: Toulouse | Statement: [King of Aquitaine, capital, Toulouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toulouse
Context triple: [King of Aquitaine, capital, Toulouse]
  • A. Toulouse chosen
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • B. Toulouse
    "Toulouse" is a popular 2011 electro house track by Dutch DJ and producer Nicky Romero that helped establish his international reputation in the EDM scene.
  • C. Toulouse
    Toulouse is a fictional orange kitten from Disney's animated film "The Aristocats," known for his playful, boisterous personality and admiration of alley cats.
  • D. Montpellier
    Montpellier is a major city in southern France known for its medieval old town, vibrant university life, and proximity to the Mediterranean coast.
  • E. Toulouse Métropole
    Toulouse Métropole is an intercommunal metropolitan authority in southwestern France that coordinates urban planning, transportation, and public services for Toulouse and its surrounding communes.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa5c1f481908a9d8786872f08fe completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd466577508190b1926c475b7c49dc completed May 8, 2026, 2:11 a.m.
Created at: April 9, 2026, 10:16 p.m.