Triple

T15866360
Position Surface form Disambiguated ID Type / Status
Subject Vergiate E384722 entity
Predicate hasFraction P12374 FINISHED
Object Cimbro
Cimbro is a small frazione (hamlet) of the municipality of Vergiate in the Lombardy region of northern Italy.
E1181798 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: Cimbro | Statement: [Vergiate, hasFraction, Cimbro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cimbro
Context triple: [Vergiate, hasFraction, Cimbro]
  • A. Latynina
    Latynina is a Russian surname most famously associated with Larisa Latynina, one of the most decorated gymnasts in Olympic history.
  • B. Segestani
    The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
  • C. Ripuarian
    Ripuarian is a group of closely related West Central German dialects spoken primarily in the Cologne region and surrounding areas along the Rhine.
  • D. Krakozhian
    Krakozhian is a fictional Eastern European country featured in the film "The Terminal."
  • E. Ladinian
    The Ladinian is a Middle Triassic geologic age and stage characterized by significant marine sedimentation and the diversification of early Mesozoic life.
  • 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: Cimbro
Triple: [Vergiate, hasFraction, Cimbro]
Generated description
Cimbro is a small frazione (hamlet) of the municipality of Vergiate in the Lombardy region of northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cimbro
Target entity description: Cimbro is a small frazione (hamlet) of the municipality of Vergiate in the Lombardy region of northern Italy.
  • A. Latynina
    Latynina is a Russian surname most famously associated with Larisa Latynina, one of the most decorated gymnasts in Olympic history.
  • B. Segestani
    The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
  • C. Ripuarian
    Ripuarian is a group of closely related West Central German dialects spoken primarily in the Cologne region and surrounding areas along the Rhine.
  • D. Krakozhian
    Krakozhian is a fictional Eastern European country featured in the film "The Terminal."
  • E. Ladinian
    The Ladinian is a Middle Triassic geologic age and stage characterized by significant marine sedimentation and the diversification of early Mesozoic life.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555f75e88190bfd0f551d4ccf4cc completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa947ba3881909c602f2fc60dd6e8 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffa9d6ae788190864b77b787f647eb completed May 9, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffaa973274819080889e1b9883b8dc completed May 9, 2026, 9:43 p.m.
Created at: April 10, 2026, 4:50 a.m.