Triple

T588177
Position Surface form Disambiguated ID Type / Status
Subject Guria E17206 entity
Predicate majorTown P316 FINISHED
Object Lanchkhuti
Lanchkhuti is a small Georgian town that serves as an important local center in the western region of Guria.
E76065 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: Lanchkhuti | Statement: [Guria, majorTown, Lanchkhuti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanchkhuti
Context triple: [Guria, majorTown, Lanchkhuti]
  • A. Harar Jugol
    Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
  • B. Kullu
    Kullu is a picturesque town in northern India’s Himalayas, known for its scenic valley, adventure tourism, and vibrant Dussehra festival.
  • C. Dila Gori
    Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
  • D. Dharamshala
    Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
  • E. Thatta
    Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
  • 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: Lanchkhuti
Triple: [Guria, majorTown, Lanchkhuti]
Generated description
Lanchkhuti is a small Georgian town that serves as an important local center in the western region of Guria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lanchkhuti
Target entity description: Lanchkhuti is a small Georgian town that serves as an important local center in the western region of Guria.
  • A. Harar Jugol
    Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
  • B. Kullu
    Kullu is a picturesque town in northern India’s Himalayas, known for its scenic valley, adventure tourism, and vibrant Dussehra festival.
  • C. Dila Gori
    Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
  • D. Dharamshala
    Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
  • E. Thatta
    Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9d1e68819096a9b5e7b2e83d6e completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a529220bc4819087e9de129139b6ef completed March 2, 2026, 6:07 a.m.
NEDg Description generation batch_69a52a081d0881909b4d5f0a699509aa completed March 2, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69a52de03864819092878b952c053c15 completed March 2, 2026, 6:27 a.m.
Created at: March 1, 2026, 7:33 p.m.