Triple

T17261099
Position Surface form Disambiguated ID Type / Status
Subject Spoletium E419010 entity
Predicate hasLatinName P3646 FINISHED
Object Spoletium E419010 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: Spoletium | Statement: [Spoletium, hasLatinName, Spoletium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spoletium
Context triple: [Spoletium, hasLatinName, Spoletium]
  • A. Spoletium chosen
    Spoletium was an important ancient Umbrian city in central Italy, later known as the Roman colony of Spoletium (modern Spoleto).
  • 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. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • E. Laurentum
    Laurentum was an ancient coastal city in Latium, traditionally associated with the legendary king Latinus and early Roman mythic 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e70b00c8190b0380be08afae18d completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171041f2c81909bf52025d68912fc completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.