Triple

T4904169
Position Surface form Disambiguated ID Type / Status
Subject Tbilisi Metro E109873 entity
Predicate connectsDistrict P2564 FINISHED
Object Gldani
Gldani is a large residential district in the northern part of Tbilisi, Georgia, known for its Soviet-era apartment blocks and dense urban population.
 E478962 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: Gldani | Statement: [Tbilisi Metro, connectsDistrict, Gldani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gldani
Context triple: [Tbilisi Metro, connectsDistrict, Gldani]
  • A. Dhordo
    Dhordo is a village in Gujarat, India, renowned as a gateway to the White Rann of Kutch and a popular desert tourism destination.
  • B. Golian
    Golian is a Slovak surname most notably associated with Ján Golian, a key military leader of the Slovak National Uprising during World War II.
  • C. Gradoli
    Gradoli is a small historic town in Italy’s Lazio region, situated in the hills above Lake Bolsena and known for its scenic views and Renaissance architecture.
  • D. Garliava
    Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
  • E. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • 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: Gldani
Triple: [Tbilisi Metro, connectsDistrict, Gldani]
Generated description
Gldani is a large residential district in the northern part of Tbilisi, Georgia, known for its Soviet-era apartment blocks and dense urban population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gldani
Target entity description: Gldani is a large residential district in the northern part of Tbilisi, Georgia, known for its Soviet-era apartment blocks and dense urban population.
  • A. Dhordo
    Dhordo is a village in Gujarat, India, renowned as a gateway to the White Rann of Kutch and a popular desert tourism destination.
  • B. Golian
    Golian is a Slovak surname most notably associated with Ján Golian, a key military leader of the Slovak National Uprising during World War II.
  • C. Gradoli
    Gradoli is a small historic town in Italy’s Lazio region, situated in the hills above Lake Bolsena and known for its scenic views and Renaissance architecture.
  • D. Garliava
    Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
  • E. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e6fdeac81909092f51ae40ad20e completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fdaaf588190a180d0bf5979c2d2 completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be70b15c508190bcd723862b8e9633 completed March 21, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69be7139a288819087598a7da8c6ad42 completed March 21, 2026, 10:21 a.m.
Created at: March 20, 2026, 1:29 p.m.