Triple

T3445532
Position Surface form Disambiguated ID Type / Status
Subject Kashiwara E72666 entity
Predicate borderedBy P224 FINISHED
Object Kanan
Kanan is a town in Osaka Prefecture, Japan, known for its suburban setting and proximity to the city of Kashiwara.
 E359980 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: Kanan | Statement: [Kashiwara, borderedBy, Kanan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kanan
Context triple: [Kashiwara, borderedBy, Kanan]
  • A. Beru
    Beru is a low-lying coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional villages, lagoon, and vulnerability to sea-level rise.
  • B. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • C. Cara Dune
    Cara Dune is a former Rebel shock trooper turned mercenary who becomes a key ally to the titular bounty hunter in the Star Wars series "The Mandalorian."
  • D. Kiana
    Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
  • E. Kadan
    Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
  • 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: Kanan
Triple: [Kashiwara, borderedBy, Kanan]
Generated description
Kanan is a town in Osaka Prefecture, Japan, known for its suburban setting and proximity to the city of Kashiwara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kanan
Target entity description: Kanan is a town in Osaka Prefecture, Japan, known for its suburban setting and proximity to the city of Kashiwara.
  • A. Beru
    Beru is a low-lying coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional villages, lagoon, and vulnerability to sea-level rise.
  • B. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • C. Cara Dune
    Cara Dune is a former Rebel shock trooper turned mercenary who becomes a key ally to the titular bounty hunter in the Star Wars series "The Mandalorian."
  • D. Kiana
    Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
  • E. Kadan
    Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2cc3048190ab1385699387df8d completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360deda448190a63a39688be2dbfb completed March 13, 2026, 12:57 a.m.
NEDg Description generation batch_69b3618726b08190905a2c93335eede2 completed March 13, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69b362586a008190b0d54e5cb38845e3 completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:16 p.m.