Triple

T5116369
Position Surface form Disambiguated ID Type / Status
Subject Tianeti E115344 entity
Predicate roadConnectionTo P9041 FINISHED
Object Dusheti E115343 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: Dusheti | Statement: [Tianeti, roadConnectionTo, Dusheti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dusheti
Context triple: [Tianeti, roadConnectionTo, Dusheti]
  • A. Dusheti chosen
    Dusheti is a small historic town in eastern Georgia known for its mountainous surroundings and traditional architecture.
  • B. Kvareli
    Kvareli is a town in eastern Georgia’s Kakheti region, known for its wine production, historic fortress, and scenic location in the Alazani Valley near the Caucasus Mountains.
  • C. Ambrolauri
    Ambrolauri is a small town in western Georgia that serves as the administrative center of the Racha region, known for its mountainous scenery and local wine production.
  • D. Ḍogrī
    Ḍogrī is the native name of the Dogri language, an Indo-Aryan language spoken primarily in the Jammu region of India.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75cfa9f88190aa7dfd264e554899 completed March 20, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaafd674819080b751216e5b6f70 completed March 21, 2026, 3:35 p.m.
Created at: March 20, 2026, 1:41 p.m.