Triple

T19134286
Position Surface form Disambiguated ID Type / Status
Subject Polycaste E468395 entity
Predicate child P120 FINISHED
Object Italus 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: Italus | Statement: [Polycaste, child, Italus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italus
Context triple: [Polycaste, child, Italus]
  • A. Italus chosen
    Italus is a figure from Roman and Italic legend often regarded as an eponymous ancestor or king associated with the naming and early civilization of Italy.
  • B. Erbalunga
    Erbalunga is a picturesque historic fishing village on the Cap Corse peninsula in northern Corsica, known for its old stone houses, small harbor, and scenic Mediterranean coastline.
  • C. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • D. Asciano
    Asciano is a historic Tuscan town in central Italy, known for its medieval architecture and scenic location in the Crete Senesi landscape.
  • E. Paesana
    Paesana is a small Italian municipality in the Piedmont region, known for its Alpine setting and traditional mountain village character.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3eb325081909035beefd1c9daf0 completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.