Triple

T6232510
Position Surface form Disambiguated ID Type / Status
Subject Gamba Osaka E139389 entity
Predicate shortName P43 FINISHED
Object Gamba
Gamba is a professional Japanese football club based in Suita, Osaka, competing in the J1 League.
E578448 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: Gamba | Statement: [Gamba Osaka, shortName, Gamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamba
Context triple: [Gamba Osaka, shortName, Gamba]
  • A. Matoury
    Matoury is a commune in French Guiana located near Cayenne, known for its role as a suburban and economic hub that includes part of the area surrounding the Guiana Space Centre.
  • B. Kashiwa
    Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • C. Kashima Kikō
    Kashima Kikō is a travel diary by the Japanese haiku master Matsuo Bashō, recounting his poetic journey to the Kashima Shrine and surrounding regions.
  • D. Levanga Hokkaido
    Levanga Hokkaido is a professional basketball team based in Sapporo, Japan, competing in the country’s top-tier B.League.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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: Gamba
Triple: [Gamba Osaka, shortName, Gamba]
Generated description
Gamba is a professional Japanese football club based in Suita, Osaka, competing in the J1 League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gamba
Target entity description: Gamba is a professional Japanese football club based in Suita, Osaka, competing in the J1 League.
  • A. Matoury
    Matoury is a commune in French Guiana located near Cayenne, known for its role as a suburban and economic hub that includes part of the area surrounding the Guiana Space Centre.
  • B. Kashiwa
    Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • C. Kashima Kikō
    Kashima Kikō is a travel diary by the Japanese haiku master Matsuo Bashō, recounting his poetic journey to the Kashima Shrine and surrounding regions.
  • D. Levanga Hokkaido
    Levanga Hokkaido is a professional basketball team based in Sapporo, Japan, competing in the country’s top-tier B.League.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062ee6f088190bf72692eb8ffb761 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20defd338819099a23d00107c4edd completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c211c3c60c8190bd5e4f002c1569e0 completed March 24, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69c214b9b83881909da9fedc7ce60f39 completed March 24, 2026, 4:36 a.m.
Created at: March 22, 2026, 4:22 p.m.