Triple

T16206934
Position Surface form Disambiguated ID Type / Status
Subject Naha Bus Terminal E393351 entity
Predicate locatedInDistrict P40 FINISHED
Object Kumoji
Kumoji is a central commercial and transportation district in Naha, Okinawa, known for its offices, shops, and major transit facilities.
 E1201314 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: Kumoji | Statement: [Naha Bus Terminal, locatedInDistrict, Kumoji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kumoji
Context triple: [Naha Bus Terminal, locatedInDistrict, Kumoji]
  • A. Kana
    Kana is the Japanese syllabic writing system comprising hiragana and katakana, used to represent native words, grammatical elements, and foreign terms.
  • B. Kana
    Kana is a settlement located within Pakistan’s Shangla District in the Khyber Pakhtunkhwa province.
  • C. Kanji
    Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
  • D. Jōyō
    Jōyō is a city in Kyoto Prefecture, Japan, known for its residential communities and proximity to both Kyoto and Nara within the broader Kyoto metropolitan area.
  • E. Kido
    Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
  • 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: Kumoji
Triple: [Naha Bus Terminal, locatedInDistrict, Kumoji]
Generated description
Kumoji is a central commercial and transportation district in Naha, Okinawa, known for its offices, shops, and major transit facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kumoji
Target entity description: Kumoji is a central commercial and transportation district in Naha, Okinawa, known for its offices, shops, and major transit facilities.
  • A. Kana
    Kana is the Japanese syllabic writing system comprising hiragana and katakana, used to represent native words, grammatical elements, and foreign terms.
  • B. Kana
    Kana is a settlement located within Pakistan’s Shangla District in the Khyber Pakhtunkhwa province.
  • C. Kanji
    Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
  • D. Jōyō
    Jōyō is a city in Kyoto Prefecture, Japan, known for its residential communities and proximity to both Kyoto and Nara within the broader Kyoto metropolitan area.
  • E. Kido
    Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227101a3c819095ef40e50bf66433 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078fa2ac8190a0a2cf38bc41498d completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000900bfbc8190b21eb513838759a9 completed May 10, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_6a000a0fc93c819088d9233aaa5e2017 completed May 10, 2026, 4:31 a.m.
Created at: April 10, 2026, 5:03 a.m.