Triple

T16798396
Position Surface form Disambiguated ID Type / Status
Subject Saint Florian E408291 entity
Predicate deathPlace P21 FINISHED
Object Lauriacum E236028 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: Lauriacum | Statement: [Saint Florian, deathPlace, Lauriacum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauriacum
Context triple: [Saint Florian, deathPlace, Lauriacum]
  • A. Lauriacum chosen
    Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
  • B. 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.
  • C. Laurentum
    Laurentum was an ancient coastal city in Latium, traditionally associated with the legendary king Latinus and early Roman mythic history.
  • D. Luguvalium
    Luguvalium was a significant Roman settlement and military center in northern Britain, located at the site of modern-day Carlisle.
  • E. Noricum
    Noricum was an ancient Celtic kingdom and later a Roman province located in the eastern Alps, roughly corresponding to modern Austria and parts of Slovenia.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2abc430819080c1303eded5f416 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1299ac81908e9f1eebc3424bb9 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.