Triple

T27167400
Position Surface form Disambiguated ID Type / Status
Subject Viejo Mundo E682814 entity
Predicate tieneEquivalenteEnFrancés P7000 FINISHED
Object Vieux Monde
Vieux Monde es la expresión francesa que designa al “Viejo Mundo”, es decir, a Europa, Asia y África en contraposición al “Nuevo Mundo” americano.
 E1762167 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: Vieux Monde | Statement: [Viejo Mundo, tieneEquivalenteEnFrancés, Vieux Monde]
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: Vieux Monde
Triple: [Viejo Mundo, tieneEquivalenteEnFrancés, Vieux Monde]
Generated description
Vieux Monde es la expresión francesa que designa al “Viejo Mundo”, es decir, a Europa, Asia y África en contraposición al “Nuevo Mundo” americano.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: tieneEquivalenteEnFrancés
Context triple: [Viejo Mundo, tieneEquivalenteEnFrancés, Vieux Monde]
  • A. isFrancophoneCounterpartOf
    Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
  • B. equivalentTitleInFrench chosen
    Indicates that one entity’s title is the equivalent or corresponding title of another entity, specifically expressed in French.
  • C. cognateInFrench
    Indicates that a given word has a corresponding French word with a common etymological origin and similar form or meaning.
  • D. languageEquivalent
    Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
  • E. equivalentInZapotec
    Indicates that two linguistic elements are equivalent in meaning or function within the Zapotec language.
  • 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_69eefacf6e788190a75a64399d9e3109 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f65876c52c8190bc889c7a67bd07f3 completed May 2, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253853b648190a75e7a57181f5e9b completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a12545544f881909f0afd8459986559 completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a125879112c8190959380eaef8ccf19 completed May 24, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69f6575d89788190aca478e4aea05a65 completed May 2, 2026, 7:58 p.m.
Created at: April 27, 2026, 9:21 a.m.