Triple

T10882535
Position Surface form Disambiguated ID Type / Status
Subject UWWW E256960 entity
Predicate locatedNear P294 FINISHED
Object Kurumoch
Kurumoch is an international airport serving the city of Samara in Russia’s Volga region.
E1067369 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: Kurumoch | Statement: [UWWW, locatedNear, Kurumoch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurumoch
Context triple: [UWWW, locatedNear, Kurumoch]
  • A. Kujūkuri
    Kujūkuri is a long, sandy coastal town and beach area on the eastern shore of Chiba Prefecture, Japan, known for its surfing spots and scenic Pacific shoreline.
  • B. Akishino
    Akishino is the imperial family name of a branch of Japan’s monarchy, borne by members such as Prince Hisahito and his parents, Crown Prince Fumihito and Crown Princess Kiko.
  • C. Karasuwa
    Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
  • D. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • E. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • 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: Kurumoch
Triple: [UWWW, locatedNear, Kurumoch]
Generated description
Kurumoch is an international airport serving the city of Samara in Russia’s Volga region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kurumoch
Target entity description: Kurumoch is an international airport serving the city of Samara in Russia’s Volga region.
  • A. Kujūkuri
    Kujūkuri is a long, sandy coastal town and beach area on the eastern shore of Chiba Prefecture, Japan, known for its surfing spots and scenic Pacific shoreline.
  • B. Akishino
    Akishino is the imperial family name of a branch of Japan’s monarchy, borne by members such as Prince Hisahito and his parents, Crown Prince Fumihito and Crown Princess Kiko.
  • C. Karasuwa
    Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
  • D. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • E. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751db24208190b3a7ed7eea118522 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f1e29c8190b073c3293cf68cb2 completed May 3, 2026, 10:06 p.m.
NEDg Description generation batch_69f7c7957abc8190966528ba353cfbfa completed May 3, 2026, 10:09 p.m.
NED2 Entity disambiguation (via description) batch_69f7c80bc32c8190bd185400bafe00cf completed May 3, 2026, 10:11 p.m.
Created at: April 8, 2026, 9:21 p.m.