Triple

T5536982
Position Surface form Disambiguated ID Type / Status
Subject Via Salaria E145185 entity
Predicate regionHistoricallyServed P63734 FINISHED
Object Sabina E203655 NE FINISHED

How this triple was built (3 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: Sabina | Statement: [Via Salaria, regionHistoricallyServed, Sabina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabina
Context triple: [Via Salaria, regionHistoricallyServed, Sabina]
  • A. Sabina
    Sabina is a central character in Thornton Wilder’s play "The Skin of Our Teeth," serving as both a maid and a self-aware, often comedic commentator who breaks the fourth wall to reflect on the absurdities of human existence.
  • B. Sabina chosen
    Sabina is a historical region of central Italy, traditionally inhabited by the Sabines and known for its rugged landscape and proximity to ancient Rome.
  • C. Corina
    Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
  • D. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • E. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionHistoricallyServed
Context triple: [Via Salaria, regionHistoricallyServed, Sabina]
  • A. historicallyServedBy
    Indicates that an entity was provided with services or support by another entity during a past period of time.
  • B. regionHistory chosen
    Indicates that there exists a historical or past association between a subject and a specific geographic or administrative region.
  • C. historicallyBasedIn
    Indicates that one entity is located in or associated with a place as its base of operations during a specific historical period.
  • D. historicalRegion
    Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
  • E. regionHistoricalName
    Indicates that a region has been known by a particular historical name during some past period.
  • F. None of above.

Provenance (4 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb07e748190bea74bbde2d7b8ba completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02814359c8190b868811f22aa568c completed March 22, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69c01b0c50e48190a1b03ecd20ca440b completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:34 p.m.