Triple

T16930111
Position Surface form Disambiguated ID Type / Status
Subject Guria E410682 entity
Predicate administrativeCenter P1474 FINISHED
Object Ozurgeti E74258 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: Ozurgeti | Statement: [Guria, administrativeCenter, Ozurgeti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozurgeti
Context triple: [Guria, administrativeCenter, Ozurgeti]
  • A. Ozurgeti chosen
    Ozurgeti is a city in western Georgia that serves as the administrative and cultural center of the Guria region.
  • B. Amurrio
    Amurrio is a town and municipality in the Basque province of Álava in northern Spain, known for its industrial activity and scenic rural surroundings.
  • C. Igarra
    Igarra is a prominent town in Edo State, Nigeria, known as the traditional headquarters of the Etuno people and the administrative center of the Akoko-Edo Local Government Area.
  • D. Elorrio
    Elorrio is a historic town in northern Spain’s Basque Country, known for its well-preserved medieval center and traditional Basque architecture.
  • E. Beasain
    Beasain is a town in the Basque province of Gipuzkoa in northern Spain, known for its strong industrial base and railway manufacturing heritage.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf248c6c81908fbf4d49e5381f08 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d45c32a08190970137790d08f499 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:30 a.m.