Triple

T7797378
Position Surface form Disambiguated ID Type / Status
Subject Porto-Vecchio E180331 entity
Predicate hasDemonym P191 FINISHED
Object Porto-Vecchiaises
Porto-Vecchiaises are the female inhabitants or natives of Porto-Vecchio, a coastal town in southern Corsica, France.
E695449 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: Porto-Vecchiaises | Statement: [Porto-Vecchio, hasDemonym, Porto-Vecchiaises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto-Vecchiaises
Context triple: [Porto-Vecchio, hasDemonym, Porto-Vecchiaises]
  • A. Porto Ercole
    Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
  • B. Brindisini
    Brindisini are the inhabitants or natives of Brindisi, a historic port city in the Apulia region of southern Italy.
  • C. Caltagironesi
    Caltagironesi are the inhabitants of Caltagirone, a Sicilian town renowned for its historic ceramics and baroque architecture.
  • D. Ligurio
    Ligurio is a cunning and manipulative schemer in Niccolò Machiavelli’s play "The Mandrake," who orchestrates the central plot to achieve his patron’s romantic and sexual aims.
  • E. Calasetta
    Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
  • 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: Porto-Vecchiaises
Triple: [Porto-Vecchio, hasDemonym, Porto-Vecchiaises]
Generated description
Porto-Vecchiaises are the female inhabitants or natives of Porto-Vecchio, a coastal town in southern Corsica, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Porto-Vecchiaises
Target entity description: Porto-Vecchiaises are the female inhabitants or natives of Porto-Vecchio, a coastal town in southern Corsica, France.
  • A. Porto Ercole
    Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
  • B. Brindisini
    Brindisini are the inhabitants or natives of Brindisi, a historic port city in the Apulia region of southern Italy.
  • C. Caltagironesi
    Caltagironesi are the inhabitants of Caltagirone, a Sicilian town renowned for its historic ceramics and baroque architecture.
  • D. Ligurio
    Ligurio is a cunning and manipulative schemer in Niccolò Machiavelli’s play "The Mandrake," who orchestrates the central plot to achieve his patron’s romantic and sexual aims.
  • E. Calasetta
    Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae982c3b48190a35afe655fb20d55 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb140684ec8190aef5d3cb2e0ea948 completed March 31, 2026, 12:23 a.m.
NEDg Description generation batch_69cb1a1414a08190912945cee30e6bc2 completed March 31, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69cb3843368881908d7c4d5a81c53a23 completed March 31, 2026, 2:58 a.m.
Created at: March 30, 2026, 4:32 p.m.