Triple

T2379595
Position Surface form Disambiguated ID Type / Status
Subject Gala Dalí E46278 entity
Predicate placeOfBirth P1 FINISHED
Object Kazan
Kazan is a city in Russia’s Republic of Tatarstan, known as a historic cultural and economic center blending Tatar and Russian influences.
 E35521 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: Kazan | Statement: [Gala Dalí, placeOfBirth, Kazan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kazan
Context triple: [Gala Dalí, placeOfBirth, Kazan]
  • A. Kazan
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • B. Ufa
    Ufa is the capital and largest city of the Republic of Bashkortostan in Russia, known as a major industrial, cultural, and economic center in the Ural region.
  • C. Naberezhnye Chelny
    Naberezhnye Chelny is a major industrial city in Russia’s Republic of Tatarstan, best known as the home of the KamAZ truck manufacturing plant.
  • D. Orenburg
    Orenburg is a major city in southwestern Russia near the Ural River, historically significant as a frontier fortress and administrative center linking European Russia with Central Asia.
  • E. Kaspiysk
    Kaspiysk is a coastal city on the Caspian Sea in the Republic of Dagestan, Russia, known for its industrial base and strategic naval facilities.
  • 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: Kazan
Triple: [Gala Dalí, placeOfBirth, Kazan]
Generated description
Kazan is a city in Russia’s Republic of Tatarstan, known as a historic cultural and economic center blending Tatar and Russian influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kazan
Target entity description: Kazan is a city in Russia’s Republic of Tatarstan, known as a historic cultural and economic center blending Tatar and Russian influences.
  • A. Kazan chosen
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • B. Ufa
    Ufa is the capital and largest city of the Republic of Bashkortostan in Russia, known as a major industrial, cultural, and economic center in the Ural region.
  • C. Naberezhnye Chelny
    Naberezhnye Chelny is a major industrial city in Russia’s Republic of Tatarstan, best known as the home of the KamAZ truck manufacturing plant.
  • D. Orenburg
    Orenburg is a major city in southwestern Russia near the Ural River, historically significant as a frontier fortress and administrative center linking European Russia with Central Asia.
  • E. Kaspiysk
    Kaspiysk is a coastal city on the Caspian Sea in the Republic of Dagestan, Russia, known for its industrial base and strategic naval facilities.
  • F. None of above.

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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b60c8c819080e4f682e4362a93 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4dae21cf08190913e7b764b3acb20 completed March 14, 2026, 3:49 a.m.
NEDg Description generation batch_69b4dc2c274c8190a7c8fa419186e188 completed March 14, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_69b4e0065b008190b2ad78546e563b4d completed March 14, 2026, 4:11 a.m.
Created at: March 4, 2026, 7:57 p.m.