Triple

T18658863
Position Surface form Disambiguated ID Type / Status
Subject Carlofortino E456136 entity
Predicate hasLocalName P6353 FINISHED
Object Carlofortin
Carlofortin is the local name for Carlofortino, a municipality in Italy.
E1335869 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: Carlofortin | Statement: [Carlofortino, hasLocalName, Carlofortin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlofortin
Context triple: [Carlofortino, hasLocalName, Carlofortin]
  • A. Arcidosso
    Arcidosso is a historic Tuscan hill town in central Italy, known for its medieval castle and scenic location on the slopes of Mount Amiata.
  • B. Carassai
    Carassai is a small historic hill town in Italy’s Marche region, known for its medieval architecture and scenic countryside setting.
  • C. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • D. Argiletum
    Argiletum was an ancient street in Rome that connected the Roman Forum to the Subura district and later became partly occupied by the Forum of Nerva.
  • E. Bucchianico
    Bucchianico is a small Italian town in the Abruzzo region, known for its historic hilltop setting and traditional festivals.
  • 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: Carlofortin
Triple: [Carlofortino, hasLocalName, Carlofortin]
Generated description
Carlofortin is the local name for Carlofortino, a municipality in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carlofortin
Target entity description: Carlofortin is the local name for Carlofortino, a municipality in Italy.
  • A. Arcidosso
    Arcidosso is a historic Tuscan hill town in central Italy, known for its medieval castle and scenic location on the slopes of Mount Amiata.
  • B. Carassai
    Carassai is a small historic hill town in Italy’s Marche region, known for its medieval architecture and scenic countryside setting.
  • C. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • D. Argiletum
    Argiletum was an ancient street in Rome that connected the Roman Forum to the Subura district and later became partly occupied by the Forum of Nerva.
  • E. Bucchianico
    Bucchianico is a small Italian town in the Abruzzo region, known for its historic hilltop setting and traditional festivals.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55087ae8081909cb4c0ce6c809d55 completed April 19, 2026, 10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a051724da8881909e065ba1069ecb6c completed May 14, 2026, 12:28 a.m.
NEDg Description generation batch_6a05193f4cbc8190a0f7bb3fc5247f31 completed May 14, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0519d38a508190bdcfb402f9f75b16 completed May 14, 2026, 12:39 a.m.
Created at: April 10, 2026, 11:48 a.m.