Triple

T14006865
Position Surface form Disambiguated ID Type / Status
Subject Via Severiana E336970 entity
Predicate servedSettlement P2741 FINISHED
Object Lavinium E200487 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: Lavinium | Statement: [Via Severiana, servedSettlement, Lavinium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lavinium
Context triple: [Via Severiana, servedSettlement, Lavinium]
  • A. Lavinium chosen
    Lavinium was an ancient coastal city of Latium in central Italy, traditionally associated with the legendary landing of Aeneas and the early origins of Roman religious cults.
  • B. Lanuvium
    Lanuvium was an ancient Latin city in central Italy, noted for its important sanctuary of Juno Sospita and its later incorporation into the Roman state.
  • C. Mucia
    Mucia was an ancient Roman noble family (gens) to which the patrician Mucia Tertia belonged.
  • D. Spercheius
    Spercheius is an ancient name for a river in central Greece, often mentioned in Greek mythology and classical literature.
  • E. Vezio
    Vezio is a small village in northern Italy overlooking Lake Como, known for its scenic views and the medieval Castello di Vezio.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed327d88190a53af5768468a8eb completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc329891c8190b4dcb9913e235a1c completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.