Triple

T8227100
Position Surface form Disambiguated ID Type / Status
Subject Picentes E192199 entity
Predicate majorSettlement P316 FINISHED
Object Asculum E352707 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: Asculum | Statement: [Picentes, majorSettlement, Asculum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asculum
Context triple: [Picentes, majorSettlement, Asculum]
  • A. Asculum chosen
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • B. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • C. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • D. Laurentum
    Laurentum was an ancient coastal city in Latium, traditionally associated with the legendary king Latinus and early Roman mythic history.
  • E. Clusium
    Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb77fdcb048190868ea4995b020a37 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6a9c4cc81909d3b25b76e90babf completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:46 p.m.