Triple

T10087321
Position Surface form Disambiguated ID Type / Status
Subject Royal Welch Fusiliers E215253 entity
Predicate battleHonour P12198 FINISHED
Object Ramillies E69359 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: Ramillies | Statement: [Royal Welch Fusiliers, battleHonour, Ramillies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramillies
Context triple: [Royal Welch Fusiliers, battleHonour, Ramillies]
  • A. Ramillies chosen
    Ramillies is a village in present-day Belgium best known as the site of the 1706 Battle of Ramillies during the War of the Spanish Succession.
  • B. Falaise
    Falaise is a town in Normandy, France, known for its strategic role in the Second World War, particularly during the closing of the Falaise Pocket in 1944.
  • C. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • D. Quatre Bras
    Quatre Bras is a strategic crossroads in present-day Belgium, historically significant as the site of a major engagement during the Waterloo campaign in 1815.
  • E. Larroquette
    Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04875748190a81d1e9ad68dda96 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b68b4dbc8190b0ada78fb29feffd completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9:01 p.m.