Triple

T14790874
Position Surface form Disambiguated ID Type / Status
Subject Timoci Bavadra E347650 entity
Predicate givenName P17 FINISHED
Object Timoci E347650 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: Timoci | Statement: [Timoci Bavadra, givenName, Timoci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timoci
Context triple: [Timoci Bavadra, givenName, Timoci]
  • A. Marko
    Marko is a masculine given name, commonly used in Slavic and other European cultures, that is cognate with the name Marcus.
  • B. Timoci Bavadra chosen
    Timoci Bavadra was a Fijian medical doctor and politician who briefly served as prime minister in 1987 before being overthrown in a military coup.
  • C. Tyras
    Tyras was an ancient Greek colony and trading port on the northern coast of the Black Sea, near the mouth of the Dniester River.
  • D. Tomis
    Tomis was an ancient Greek and later Roman city on the Black Sea coast, in present-day Constanța, Romania, best known as the remote outpost where the poet Ovid was exiled by Emperor Augustus.
  • E. Gian
    Gian is an Italian given name, typically used as a short form or variant of Giovanni (the Italian equivalent of John).
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5d134c819080ee788b2e34163a completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bc8464819096b019f1e927d1a9 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.