Triple

T14820767
Position Surface form Disambiguated ID Type / Status
Subject Acquapendente E348444 entity
Predicate partOf P40 FINISHED
Object Alta Tuscia E341707 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: Alta Tuscia | Statement: [Acquapendente, partOf, Alta Tuscia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alta Tuscia
Context triple: [Acquapendente, partOf, Alta Tuscia]
  • A. Castelli Romani
    Castelli Romani is a picturesque area of hill towns southeast of Rome, Italy, famed for its volcanic lakes, historic villas, and traditional food and wine.
  • B. Ciociaria
    Ciociaria is a historical and cultural region of central Italy, known for its rural traditions, distinctive dialect, and folk customs within the area around Frosinone in southern Lazio.
  • C. Lunigiana
    Lunigiana is a historical region in northwestern Italy, spanning parts of Tuscany and Liguria, known for its medieval castles, hilltop villages, and rugged Apennine landscapes.
  • D. Tuscia chosen
    Tuscia is a historical region of central Italy corresponding largely to ancient Etruria, encompassing much of what is now northern Lazio and parts of Tuscany and Umbria.
  • E. Valdelsa
    Valdelsa is a historical valley area in Tuscany, Italy, known for its medieval hill towns, agricultural landscapes, and cultural heritage.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe64328819083ce42704cf0602d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389bc06c8190a8269c07677d9c35 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:50 a.m.