Triple

T9364523
Position Surface form Disambiguated ID Type / Status
Subject Amiternum E225366 entity
Predicate locatedNear P294 FINISHED
Object L'Aquila E347601 NE FINISHED

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: L'Aquila | Statement: [Amiternum, locatedNear, L'Aquila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L'Aquila
Context triple: [Amiternum, locatedNear, L'Aquila]
  • A. L'Aquila chosen
    L'Aquila is a historic city in central Italy known for its medieval architecture and as the administrative and cultural center of the surrounding mountainous region.
  • B. Frosinone
    Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
  • C. Ariccia
    Ariccia is a historic town in the Alban Hills near Rome, known for its Baroque architecture and traditional porchetta.
  • D. Isernia
    Isernia is a historic town and provincial capital in the Molise region of southern-central Italy, known for its ancient Samnite and Roman roots.
  • E. Rieti
    Rieti is a historic town in central Italy often considered the geographical center of the country and known for its medieval architecture and proximity to the Apennine Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3f3c420819084b65fd4537aaf93 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:42 p.m.