Triple

T2581689
Position Surface form Disambiguated ID Type / Status
Subject Tver Oblast E57105 entity
Predicate contains P35 FINISHED
Object Kashin
Kashin is a historic town in western Russia known for its medieval heritage and location along the Kashinka River.
E280197 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: Kashin | Statement: [Tver Oblast, contains, Kashin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kashin
Context triple: [Tver Oblast, contains, Kashin]
  • A. Koreiz
    Koreiz is a resort settlement on the southern coast of Crimea, known for its seaside location and historic villas.
  • B. Nakanai
    Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • 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: Kashin
Triple: [Tver Oblast, contains, Kashin]
Generated description
Kashin is a historic town in western Russia known for its medieval heritage and location along the Kashinka River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kashin
Target entity description: Kashin is a historic town in western Russia known for its medieval heritage and location along the Kashinka River.
  • A. Koreiz
    Koreiz is a resort settlement on the southern coast of Crimea, known for its seaside location and historic villas.
  • B. Nakanai
    Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c843bc8190837cea3441bf3ca1 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657cc2b08190a9055d6da7744851 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af69a66078819084f341b052860751 completed March 10, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69af6a071f1c8190b2a707a0c98ddc94 completed March 10, 2026, 12:47 a.m.
Created at: March 6, 2026, 9:49 p.m.