Triple

T8479890
Position Surface form Disambiguated ID Type / Status
Subject Lavinium E200487 entity
Predicate nearbySettlement P350 FINISHED
Object Laurentum E468400 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: Laurentum | Statement: [Lavinium, nearbySettlement, Laurentum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurentum
Context triple: [Lavinium, nearbySettlement, Laurentum]
  • A. Laurentum chosen
    Laurentum was an ancient coastal city in Latium, traditionally associated with the legendary king Latinus and early Roman mythic history.
  • B. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • C. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • D. Lauriacum
    Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
  • E. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5232d008190ae55b982f5fc9e8b completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4de95e3081908277c65598f3884a completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:12 p.m.