Triple

T4904148
Position Surface form Disambiguated ID Type / Status
Subject Tbilisi Metro E109873 entity
Predicate hasStation P35 FINISHED
Object Didube
Didube is a metro station in Tbilisi, Georgia, serving as a key transit hub that connects the city’s metro system with major bus and marshrutka routes to other regions.
 E478956 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: Didube | Statement: [Tbilisi Metro, hasStation, Didube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Didube
Context triple: [Tbilisi Metro, hasStation, Didube]
  • A. Jebba
    Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
  • B. Dschubba
    Dschubba is a bright multiple star system that forms the "head" of the constellation Scorpius and is designated Delta Scorpii.
  • C. Kibibi
    Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
  • D. Hadibu
    Hadibu is the main town and administrative center of the Yemeni island of Socotra in the Arabian Sea.
  • E. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • 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: Didube
Triple: [Tbilisi Metro, hasStation, Didube]
Generated description
Didube is a metro station in Tbilisi, Georgia, serving as a key transit hub that connects the city’s metro system with major bus and marshrutka routes to other regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Didube
Target entity description: Didube is a metro station in Tbilisi, Georgia, serving as a key transit hub that connects the city’s metro system with major bus and marshrutka routes to other regions.
  • A. Jebba
    Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
  • B. Dschubba
    Dschubba is a bright multiple star system that forms the "head" of the constellation Scorpius and is designated Delta Scorpii.
  • C. Kibibi
    Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
  • D. Hadibu
    Hadibu is the main town and administrative center of the Yemeni island of Socotra in the Arabian Sea.
  • E. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • 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.