Triple

T4970490
Position Surface form Disambiguated ID Type / Status
Subject Paeligni E111635 entity
Predicate neighboringPeople P11274 FINISHED
Object Marrucini E90816 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: Marrucini | Statement: [Paeligni, neighboringPeople, Marrucini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marrucini
Context triple: [Paeligni, neighboringPeople, Marrucini]
  • A. Marrucini chosen
    The Marrucini were an ancient Italic tribe of central Italy, closely associated with neighboring peoples like the Marsi and Paeligni and later incorporated into the Roman state.
  • B. Aurunci
    The Aurunci were an ancient Italic people of south-central Italy, known from early Roman history and associated with the Oscan-speaking cultural sphere.
  • C. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • D. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7213bf0081909b3c496f1804dc4c completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89fddbb8819084c8c21ee0ce845e completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:33 p.m.