Triple

T17563665
Position Surface form Disambiguated ID Type / Status
Subject Lars Porsenna E427754 entity
Predicate ruledCity P46958 FINISHED
Object Clusium NE NERFINISHED

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: Clusium | Statement: [Lars Porsenna, ruledCity, Clusium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clusium
Context triple: [Lars Porsenna, ruledCity, Clusium]
  • A. Clusium chosen
    Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
  • B. Selasca
    Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
  • C. 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.
  • D. Alba Fucens
    Alba Fucens was an ancient Roman hilltop colony in central Italy, strategically located near the Via Valeria and used as a fortress and place of detention for important prisoners.
  • E. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592bde448190bf5ed2340440e2b7 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.