Triple

T883709
Position Surface form Disambiguated ID Type / Status
Subject Mtskheta-Mtianeti E19082 entity
Predicate contains P35 FINISHED
Object Tianeti
Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
E115344 NE FINISHED

How this triple was built (4 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: [Mtskheta-Mtianeti, contains, Tianeti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tianeti
Context triple: [Mtskheta-Mtianeti, contains, Tianeti]
  • A. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • B. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • C. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • D. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • E. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tianeti
Triple: [Mtskheta-Mtianeti, contains, Tianeti]
Generated description
Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tianeti
Target entity description: Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • A. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • B. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • C. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • D. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • E. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • F. None of above. chosen

Provenance (5 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace495348190aec66f35ea90bc89 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f9d07c819097b9cf95d2b708f7 completed March 7, 2026, 12:15 p.m.
NEDg Description generation batch_69ac1a6cee0481908e9e6d7311ee6126 completed March 7, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_69ac1aebd5d88190830cb66dae2bd0b5 completed March 7, 2026, 12:32 p.m.
Created at: March 1, 2026, 7:39 p.m.