Triple

T12535047
Position Surface form Disambiguated ID Type / Status
Subject 葛城市 E299665 entity
Predicate locatedNear P294 FINISHED
Object Yamatotakada
Yamatotakada is a city in Nara Prefecture, Japan, known as a regional commercial center with historical temples and traditional residential districts.
 E1002166 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: Yamatotakada | Statement: [葛城市, locatedNear, Yamatotakada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yamatotakada
Context triple: [葛城市, locatedNear, Yamatotakada]
  • A. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • B. Yamakoshi
    Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
  • C. Shakujii
    Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
  • D. Zaimu-shō
    Zaimu-shō is Japan’s Ministry of Finance, the central government body responsible for national fiscal policy, budgeting, taxation, and public finance management.
  • E. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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: Yamatotakada
Triple: [葛城市, locatedNear, Yamatotakada]
Generated description
Yamatotakada is a city in Nara Prefecture, Japan, known as a regional commercial center with historical temples and traditional residential districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yamatotakada
Target entity description: Yamatotakada is a city in Nara Prefecture, Japan, known as a regional commercial center with historical temples and traditional residential districts.
  • A. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • B. Yamakoshi
    Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
  • C. Shakujii
    Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
  • D. Zaimu-shō
    Zaimu-shō is Japan’s Ministry of Finance, the central government body responsible for national fiscal policy, budgeting, taxation, and public finance management.
  • E. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d672808190b72a923e285a91bb completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f68687e15481908d1ddd017747695f completed May 2, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69f686ec54288190bd1adcbd9c900c90 completed May 2, 2026, 11:21 p.m.
Created at: April 8, 2026, 9:57 p.m.