Triple

T21607193
Position Surface form Disambiguated ID Type / Status
Subject Atessa E533207 entity
Predicate demonym P191 FINISHED
Object Atessani NE NERFINISHED

How this triple was built (2 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: Atessani | Statement: [Atessa, demonym, Atessani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atessani
Context triple: [Atessa, demonym, Atessani]
  • A. Atessa chosen
    Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
  • B. Alessan
    Alessan is a key character in Anne McCaffrey’s Pern universe, known as the pragmatic and duty-bound Lord Holder of Ruatha in the novel "Moreta: Dragonlady of Pern."
  • C. Assante
    Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
  • D. Ateso
    Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
  • E. Aspelta
    Aspelta was a king of the ancient Kushite kingdom of Nubia who ruled from Napata in the early 6th century BCE and is known for consolidating power and engaging diplomatically and militarily with Egypt.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e6378881908678dc903b8ba6ac completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.