Triple

T15543418
Position Surface form Disambiguated ID Type / Status
Subject Cremonese (Lombard variety) E370538 entity
Predicate hasAlternativeName P39 FINISHED
Object Cremunés
Cremunés is a local Lombard dialect spoken in and around the city of Cremona in northern Italy.
E1163365 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: Cremunés | Statement: [Cremonese (Lombard variety), hasAlternativeName, Cremunés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cremunés
Context triple: [Cremonese (Lombard variety), hasAlternativeName, Cremunés]
  • A. Cerbillona
    Cerbillona is a prominent peak in the Vignemale massif of the central Pyrenees, known for its high elevation and alpine climbing routes on the French–Spanish border.
  • B. Torelló
    Torelló is a municipality in the comarca of Osona in Catalonia, Spain, known for its industrial heritage and scenic location in the Ter river valley.
  • C. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • D. Acesines
    Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
  • E. Marmolèda
    Marmolèda is the Ladin name for Marmolada, the highest mountain in the Dolomites of northeastern Italy.
  • 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: Cremunés
Triple: [Cremonese (Lombard variety), hasAlternativeName, Cremunés]
Generated description
Cremunés is a local Lombard dialect spoken in and around the city of Cremona in northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cremunés
Target entity description: Cremunés is a local Lombard dialect spoken in and around the city of Cremona in northern Italy.
  • A. Cerbillona
    Cerbillona is a prominent peak in the Vignemale massif of the central Pyrenees, known for its high elevation and alpine climbing routes on the French–Spanish border.
  • B. Torelló
    Torelló is a municipality in the comarca of Osona in Catalonia, Spain, known for its industrial heritage and scenic location in the Ter river valley.
  • C. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • D. Acesines
    Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
  • E. Marmolèda
    Marmolèda is the Ladin name for Marmolada, the highest mountain in the Dolomites of northeastern Italy.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0443410408190a249889edcd9c599 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4558677881908704ac86c12e1fc4 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff468d1db88190ad71bc6780df5439 completed May 9, 2026, 2:37 p.m.
NED2 Entity disambiguation (via description) batch_69ff472fb24c8190912755bd95ef50c9 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 4:07 a.m.