Triple

T2739878
Position Surface form Disambiguated ID Type / Status
Subject Tatarstan E60722 entity
Predicate containsCity P294 FINISHED
Object Bugulma
Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
 E294235 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: Bugulma | Statement: [Tatarstan, containsCity, Bugulma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bugulma
Context triple: [Tatarstan, containsCity, Bugulma]
  • A. Maluma
    Maluma is a Colombian reggaeton and Latin pop singer-songwriter known for his chart-topping hits and major influence in contemporary Latin music.
  • B. Cumalıkızık
    Cumalıkızık is a well-preserved historic Ottoman village near Bursa in Turkey, renowned for its traditional timber-and-stone houses and cobbled streets.
  • C. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • D. Palilula
    Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
  • E. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • 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: Bugulma
Triple: [Tatarstan, containsCity, Bugulma]
Generated description
Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bugulma
Target entity description: Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
  • A. Maluma
    Maluma is a Colombian reggaeton and Latin pop singer-songwriter known for his chart-topping hits and major influence in contemporary Latin music.
  • B. Cumalıkızık
    Cumalıkızık is a well-preserved historic Ottoman village near Bursa in Turkey, renowned for its traditional timber-and-stone houses and cobbled streets.
  • C. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • D. Palilula
    Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
  • E. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb2da94c8190bc9d23262e3dfc07 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc828388190af6c3b75ed765401 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbc3b0aa08190ac0254e7e4300b9c completed March 10, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69afbcb25ee4819093a8bd77bbcd8a86 completed March 10, 2026, 6:39 a.m.
Created at: March 6, 2026, 9:56 p.m.