Triple

T35171699
Position Surface form Disambiguated ID Type / Status
Subject Battle of Saint-Denis (1567) E1015559 entity
Predicate approximateHuguenotStrength P199585 FINISHED
Object about 3,500–4,000 troops LITERAL 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: about 3,500–4,000 troops | Statement: [Battle of Saint-Denis (1567), approximateHuguenotStrength, about 3,500–4,000 troops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateHuguenotStrength
Context triple: [Battle of Saint-Denis (1567), approximateHuguenotStrength, about 3,500–4,000 troops]
  • A. aimOfHuguenots
    Indicates the goal or objective pursued by the Huguenots in a given context.
  • B. HuguenotComposition
    Indicates that something is composed of, created by, or fundamentally characterized by Huguenots or the Huguenot tradition.
  • C. HuguenotCasualties
    Indicates the number or extent of deaths and injuries suffered by Huguenots in a specific conflict or event.
  • D. approximateStrengthFrancoSpanish
    Indicates an estimated or inferred level of strength or intensity in the relationship or interaction between Franco and Spanish entities.
  • E. approximateGallicStrength
    Indicates an estimation or rough calculation of the level or magnitude of Gallic strength in a given context.
  • F. None of above. chosen

Provenance (4 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_69f76ddbfde081908bffc91572368289 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff46afe7e481908f2862ed11c88db2 completed May 9, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69ff45e9151881909c444a655e852165 completed May 9, 2026, 2:34 p.m.
PDg Predicate description generation batch_69ff46aefe248190a80d898df6ef1340 completed May 9, 2026, 2:37 p.m.
Created at: May 3, 2026, 4:02 p.m.