Triple

T16451876
Position Surface form Disambiguated ID Type / Status
Subject Regio IV Samnium E399571 entity
Predicate contains P35 FINISHED
Object Saepinum E222907 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: Saepinum | Statement: [Regio IV Samnium, contains, Saepinum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saepinum
Context triple: [Regio IV Samnium, contains, Saepinum]
  • A. Saepinum chosen
    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.
  • B. Sabinum
    Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
  • 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. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • E. Glanum
    Glanum is an ancient Greco-Roman city in southern France known for its well-preserved ruins and monumental architecture.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce19344819083d323077b742bc3 completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045979c588190b6f7b249147f3174 completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.