Triple

T16256294
Position Surface form Disambiguated ID Type / Status
Subject Samtredia railway station E394636 entity
Predicate connectsWith P37 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: [Samtredia railway station, connectsWith, Ozurgeti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozurgeti
Context triple: [Samtredia railway station, connectsWith, 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459a48f081909c76b38741b8f04e completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee9bc4c8190bb7e54ed2ad162b3 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.