Triple

T9957209
Position Surface form Disambiguated ID Type / Status
Subject Old Latium E195473 entity
Predicate neighboringRegion P17964 FINISHED
Object Sabinum E225367 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: Sabinum | Statement: [Old Latium, neighboringRegion, Sabinum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabinum
Context triple: [Old Latium, neighboringRegion, Sabinum]
  • A. Sabinum chosen
    Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
  • B. Saepinum
    Saepinum was an ancient town of the Samnite people in south-central Italy, later developed into a Roman municipium whose ruins are still visible today.
  • C. Statilia
    Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
  • D. Decumano
    Decumano was the central pedestrian boulevard of Expo 2015 in Milan, along which the majority of national pavilions and exhibition spaces were arranged.
  • E. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6cceb608190ad4424afaddcabfa completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d7988948190bae81c1020f2b605 completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:46 p.m.