Triple

T15147451
Position Surface form Disambiguated ID Type / Status
Subject Tempi E361848 entity
Predicate hasSettlement P1068 FINISHED
Object Rapsani E489344 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: Rapsani | Statement: [Tempi, hasSettlement, Rapsani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rapsani
Context triple: [Tempi, hasSettlement, Rapsani]
  • A. Rapsani chosen
    Rapsani is a Greek village and renowned wine-producing area on the slopes of Mount Olympus in the region of Pieria.
  • B. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • C. Rascia
    Rascia is a historical region in the central Balkans that formed the medieval core of the Serbian state.
  • D. Carneia
    Carneia was an important ancient Spartan and Dorian festival in honor of Apollo, marked by rituals, music, and athletic contests that reflected both military and agricultural aspects of the community.
  • E. Lechonia
    Lechonia is a coastal town in Greece situated along the shores of the Pagasetic Gulf, known for its scenic seaside setting and proximity to the city of Volos.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c825a481909d00098b0e743365 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff02e648190bd10f04a374da227 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.