Triple

T20381087
Position Surface form Disambiguated ID Type / Status
Subject Interamna Nahars E497827 entity
Predicate hasToponymicElement P96333 FINISHED
Object Interamna 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: Interamna | Statement: [Interamna Nahars, hasToponymicElement, Interamna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Interamna
Context triple: [Interamna Nahars, hasToponymicElement, Interamna]
  • A. Interamna Nahars chosen
    Interamna Nahars is the ancient Roman name for the modern Italian city of Terni in Umbria.
  • B. Ambilliens
    Ambilliens are the inhabitants or natives of Ambilly, a commune in eastern France near the Swiss border.
  • C. 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.
  • D. Arakoon
    Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
  • E. Decumano
    Decumano was the central pedestrian boulevard of Expo 2015 in Milan, along which the majority of national pavilions and exhibition spaces were arranged.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b0ee708190bdbe4aab28a61525 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.