Triple

T10986699
Position Surface form Disambiguated ID Type / Status
Subject Moltrasio E259647 entity
Predicate hasSubdivision P747 FINISHED
Object Creolino
Creolino is a small locality or hamlet that forms part of the municipality of Moltrasio in northern Italy.
E898244 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: Creolino | Statement: [Moltrasio, hasSubdivision, Creolino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Creolino
Context triple: [Moltrasio, hasSubdivision, Creolino]
  • A. Kriol di Sal
    Kriol di Sal is a Portuguese-based creole language spoken primarily on the island of Sal in Cape Verde.
  • B. Brava Creole
    Brava Creole is a regional variety of Cape Verdean Creole spoken primarily on the island of Brava, characterized by its own distinct phonological and lexical features.
  • C. Kriyol
    Kriyol is a Portuguese-based creole language spoken primarily in the Casamance region of Senegal and neighboring areas.
  • D. Barlavento Creoles
    Barlavento Creoles are a group of Cape Verdean Creole dialects spoken primarily in the northern (windward) islands of Cape Verde.
  • E. Lobato
    Lobato is a Portuguese-language surname borne by various notable figures, including politicians, writers, and public personalities in Lusophone countries.
  • 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: Creolino
Triple: [Moltrasio, hasSubdivision, Creolino]
Generated description
Creolino is a small locality or hamlet that forms part of the municipality of Moltrasio in northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Creolino
Target entity description: Creolino is a small locality or hamlet that forms part of the municipality of Moltrasio in northern Italy.
  • A. Kriol di Sal
    Kriol di Sal is a Portuguese-based creole language spoken primarily on the island of Sal in Cape Verde.
  • B. Brava Creole
    Brava Creole is a regional variety of Cape Verdean Creole spoken primarily on the island of Brava, characterized by its own distinct phonological and lexical features.
  • C. Kriyol
    Kriyol is a Portuguese-based creole language spoken primarily in the Casamance region of Senegal and neighboring areas.
  • D. Barlavento Creoles
    Barlavento Creoles are a group of Cape Verdean Creole dialects spoken primarily in the northern (windward) islands of Cape Verde.
  • E. Lobato
    Lobato is a Portuguese-language surname borne by various notable figures, including politicians, writers, and public personalities in Lusophone countries.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b3c8388190be77e95d56979a7f completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344e9c66c81909163cea6aa9276e0 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3591ecd548190b049ce95fe3f86d9 completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.