Triple

T13015193
Position Surface form Disambiguated ID Type / Status
Subject Raimundo E322531 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Mundo
Mundo is a Spanish given name commonly used as a shortened or affectionate form of longer names such as Raimundo.
 E1014648 NE FINISHED

How this triple was built (4 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: Mundo | Statement: [Raimundo, hasDiminutiveForm, Mundo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mundo
Context triple: [Raimundo, hasDiminutiveForm, Mundo]
  • A. Mundi
    Mundi is a town in the Khandwa district of Madhya Pradesh, India, known locally as an important regional center for trade and agriculture.
  • B. Świecie
    Świecie is a historic town in northern Poland, located in the Kuyavian-Pomeranian Voivodeship and known for its medieval castle and position near the confluence of the Vistula and Wda rivers.
  • C. Thunivu
    Thunivu is a 2023 Tamil-language action heist film starring Ajith Kumar, known for its high-octane sequences and socially charged storyline.
  • D. Verden
    Verden is a historic town in Lower Saxony, Germany, known for its medieval cathedral and location along the Weser River.
  • E. Mulk
    Mulk is the name of one of the nineteen months in the Badíʻ (Baháʼí) calendar, associated with the concept of dominion or sovereignty.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Mundo
Triple: [Raimundo, hasDiminutiveForm, Mundo]
Generated description
Mundo is a Spanish given name commonly used as a shortened or affectionate form of longer names such as Raimundo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mundo
Target entity description: Mundo is a Spanish given name commonly used as a shortened or affectionate form of longer names such as Raimundo.
  • A. Mundi
    Mundi is a town in the Khandwa district of Madhya Pradesh, India, known locally as an important regional center for trade and agriculture.
  • B. Świecie
    Świecie is a historic town in northern Poland, located in the Kuyavian-Pomeranian Voivodeship and known for its medieval castle and position near the confluence of the Vistula and Wda rivers.
  • C. Thunivu
    Thunivu is a 2023 Tamil-language action heist film starring Ajith Kumar, known for its high-octane sequences and socially charged storyline.
  • D. Verden
    Verden is a historic town in Lower Saxony, Germany, known for its medieval cathedral and location along the Weser River.
  • E. Mulk
    Mulk is the name of one of the nineteen months in the Badíʻ (Baháʼí) calendar, associated with the concept of dominion or sovereignty.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecd04748190ade2530ee5db35fe completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11290e08190a41c162d47094203 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20aff008190a1a10ac02ed08726 completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c2de143c81908164f5df2b92e5c3 completed May 3, 2026, 3:37 a.m.
Created at: April 9, 2026, 8:50 p.m.