Triple

T20204536
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Tianeti E493314 entity
Predicate seat P75 FINISHED
Object Tianeti 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: Tianeti | Statement: [Mayor of Tianeti, seat, Tianeti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tianeti
Context triple: [Mayor of Tianeti, seat, Tianeti]
  • A. Tianeti chosen
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • B. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • C. Taneti
    Taneti is the given name of Taneti Maamau, the President of Kiribati.
  • D. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • E. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8f90108190b72e37c0056de0f8 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.