Triple

T15325979
Position Surface form Disambiguated ID Type / Status
Subject Ozurgeti railway station E366410 entity
Predicate connectsRegion P845 FINISHED
Object Guria E17206 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: Guria | Statement: [Ozurgeti railway station, connectsRegion, Guria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guria
Context triple: [Ozurgeti railway station, connectsRegion, Guria]
  • A. Guria chosen
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • B. Samegrelo
    Samegrelo is a historic region in western Georgia known for its distinct Mingrelian culture, language, and cuisine.
  • C. Svaneti
    Svaneti is a remote mountainous region in northwestern Georgia, renowned for its medieval stone tower houses, unique Svan culture and language, and dramatic Caucasus landscapes.
  • D. Tusheti
    Tusheti is a remote mountainous region in northeast Georgia known for its medieval villages, pastoral culture, and well-preserved traditions of the local highland communities.
  • E. Pshavi
    Pshavi is a historic highland region in northeastern Georgia known for its mountainous landscapes, traditional villages, and rich folk culture.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dfd8f048190831b463a2728eafe completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff219635b08190a19dcaeb72240379 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:16 a.m.