Triple

T4149655
Position Surface form Disambiguated ID Type / Status
Subject Siege of Tournai (1667) E89871 entity
Predicate fortificationEngineer P54630 FINISHED
Object Vauban E128395 NE FINISHED

How this triple was built (3 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: Vauban | Statement: [Siege of Tournai (1667), fortificationEngineer, Vauban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vauban
Context triple: [Siege of Tournai (1667), fortificationEngineer, Vauban]
  • A. Vauban chosen
    Vauban was a renowned 17th-century French military engineer and Marshal of France, famous for revolutionizing fortification design and siege warfare under Louis XIV.
  • B. Quai Vauban
    Quai Vauban is a picturesque riverside promenade in Besançon, France, known for its historic architecture and scenic views along the Doubs River.
  • C. Port Vauban
    Port Vauban is a major Mediterranean marina in Antibes, France, renowned as one of Europe’s largest harbours for luxury yachts and pleasure boats.
  • D. Barrage Vauban
    Barrage Vauban is a historic 17th-century defensive weir and bridge in Strasbourg, France, known for its panoramic views over the city and its role in the former fortifications.
  • E. Cour Carrée
    Cour Carrée is the large, historic square courtyard at the eastern end of the Louvre in Paris, surrounded by classical palace façades that reflect the museum’s origins as a royal residence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fortificationEngineer
Context triple: [Siege of Tournai (1667), fortificationEngineer, Vauban]
  • A. defenceEngineer
    Indicates a relationship where an entity works as an engineer specializing in defense-related systems, technologies, or projects.
  • B. wasFortifiedBy
    Indicates that a place or structure received defensive strengthening or fortification through the actions or resources of a specified agent or entity.
  • C. hasFortifications
    Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
  • D. garrisonCommander
    Indicates that one entity serves as the commanding officer in charge of the military garrison located at or associated with another entity.
  • E. fortType
    Indicates the specific kind or classification of a fort associated with an entity.
  • F. None of above. chosen

Provenance (5 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af033ef6648190adde17f943d89c78 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589e457f48190b8ed8bd92e07b519 completed March 14, 2026, 4:16 p.m.
PD Predicate disambiguation batch_69af018c101081909070da5b11e5eb3d completed March 9, 2026, 5:21 p.m.
PDg Predicate description generation batch_69af033d94888190b34349e355b874ef completed March 9, 2026, 5:28 p.m.
Created at: March 9, 2026, 3:43 p.m.