Triple

T4285937
Position Surface form Disambiguated ID Type / Status
Subject Sitia E97267 entity
Predicate hasWineRegion P285 FINISHED
Object Sitia PDO E97267 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: Sitia PDO | Statement: [Sitia, hasWineRegion, Sitia PDO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sitia PDO
Context triple: [Sitia, hasWineRegion, Sitia PDO]
  • A. Sitia chosen
    Sitia is a coastal town and port in eastern Crete, Greece, known for its relaxed atmosphere, nearby archaeological sites, and surrounding beaches.
  • B. Sasima
    Sasima was an obscure town in ancient Cappadocia, best known as the short-lived and reluctant episcopal see of Gregory of Nazianzus in the 4th century.
  • C. Siaton
    Siaton is a coastal municipality in the southern part of Negros Oriental in the Philippines, known for its rural landscapes and proximity to marine and nature attractions.
  • D. Sitabdiara
    Sitabdiara is a village on the Bihar–Uttar Pradesh border in India, best known as the birthplace of prominent independence activist and political leader Jayaprakash Narayan.
  • E. Pang
    Pang is a variant transliteration of the Chinese surname commonly romanized as Peng.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505d23d88190a638f2cc2acee9ee completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c657b08190b96135c34622e559 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.