Triple

T6818740
Position Surface form Disambiguated ID Type / Status
Subject Federico Gravina E156840 entity
Predicate familyName P18 FINISHED
Object Gravina
Gravina is an Italian surname historically associated with notable figures in politics, the military, and the arts.
 E622038 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: Gravina | Statement: [Federico Gravina, familyName, Gravina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gravina
Context triple: [Federico Gravina, familyName, Gravina]
  • A. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • B. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • C. Dumna
    Dumna is a locality in India known for its proximity to Dumna Airport and its role as a regional transport and residential area.
  • D. Vedder
    Vedder is a surname most notably associated with Elihu Vedder, an American symbolist painter, book illustrator, and muralist active in the late 19th and early 20th centuries.
  • E. Aliveri
    Aliveri is a coastal town on the island of Euboea in Greece, known for its port, industrial facilities, and proximity to the South Euboean Gulf.
  • 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: Gravina
Triple: [Federico Gravina, familyName, Gravina]
Generated description
Gravina is an Italian surname historically associated with notable figures in politics, the military, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gravina
Target entity description: Gravina is an Italian surname historically associated with notable figures in politics, the military, and the arts.
  • A. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • B. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • C. Dumna
    Dumna is a locality in India known for its proximity to Dumna Airport and its role as a regional transport and residential area.
  • D. Vedder
    Vedder is a surname most notably associated with Elihu Vedder, an American symbolist painter, book illustrator, and muralist active in the late 19th and early 20th centuries.
  • E. Aliveri
    Aliveri is a coastal town on the island of Euboea in Greece, known for its port, industrial facilities, and proximity to the South Euboean Gulf.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d35781e88190a45d1386706d4422 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e458d881909fcea55915514eb1 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724f876d08190a19dd4e0840f841b completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c72568866c8190bf88a02e566d5c3a completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:17 p.m.