Triple

T24972134
Position Surface form Disambiguated ID Type / Status
Subject Le Petit Dauphin E624918 entity
Predicate hasReferentBirthPlace P145359 FINISHED
Object Versailles (through Louis, Duke of Burgundy)
Versailles (through Louis, Duke of Burgundy) refers to the royal residence and political center of the French monarchy near Paris, closely associated with the Bourbon dynasty and the upbringing of heirs to the throne.
 E1657987 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: Versailles (through Louis, Duke of Burgundy) | Statement: [Le Petit Dauphin, hasReferentBirthPlace, Versailles (through Louis, Duke of Burgundy)]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Versailles (through Louis, Duke of Burgundy)
Triple: [Le Petit Dauphin, hasReferentBirthPlace, Versailles (through Louis, Duke of Burgundy)]
Generated description
Versailles (through Louis, Duke of Burgundy) refers to the royal residence and political center of the French monarchy near Paris, closely associated with the Bourbon dynasty and the upbringing of heirs to the throne.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasReferentBirthPlace
Context triple: [Le Petit Dauphin, hasReferentBirthPlace, Versailles (through Louis, Duke of Burgundy)]
  • A. isBirthplaceRelatedTo
    Indicates that there is a relationship between an entity and a birthplace, such as being born there or otherwise closely associated with that place of birth.
  • B. containsBirthplaceTown
    Indicates that one entity includes or specifies the town where another entity was born.
  • C. hasNamesakeBirthPlace
    Indicates that the place is the birthplace of another entity after which the subject entity is named.
  • D. nearBirthplaceOf
    Indicates that one entity is located close to the place where another entity was born.
  • E. birthPlaceAccordingTo chosen
    Indicates that an entity’s place of birth is given as a specific location according to a particular source or authority.
  • F. None of above.

Provenance (6 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_69e2ff24512481908e9a72315b8d0354 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103359fdf08190ad825bb2449d6241 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a103440175081908c16266d18fa3f7f completed May 22, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a1035004ea081908dc1f871f02ad95b completed May 22, 2026, 10:50 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 18, 2026, 6:01 a.m.