Triple

T22271393
Position Surface form Disambiguated ID Type / Status
Subject Shiga Lakestars E550484 entity
Predicate hasRivalTeam P16339 FINISHED
Object Kyoto Hannaryz
Kyoto Hannaryz is a professional Japanese basketball team based in Kyoto that competes in the B.League.
 E1528153 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: Kyoto Hannaryz | Statement: [Shiga Lakestars, hasRivalTeam, Kyoto Hannaryz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kyoto Hannaryz
Context triple: [Shiga Lakestars, hasRivalTeam, Kyoto Hannaryz]
  • A. Hoisan
    Hoisan is an older romanization of Taishan, a county-level city in Guangdong, China, historically known for its large overseas Chinese diaspora.
  • B. Kashimayari
    Kashimayari is a ski resort in Japan’s Hakuba Valley, known for its varied terrain and scenic alpine setting.
  • C. Nokyōdō
    Nokyōdō is a small, historic hall within the Yamadera temple complex in Yamagata Prefecture, Japan, traditionally used for the stamping and inscription of Buddhist pilgrimage books.
  • D. Kanramachi
    Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
  • E. Kazegaura
    Kazegaura is a tranquil, wind-swept lakeside town in the visual novel "If My Heart Had Wings," known for its scenic vistas and serene atmosphere.
  • 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: Kyoto Hannaryz
Triple: [Shiga Lakestars, hasRivalTeam, Kyoto Hannaryz]
Generated description
Kyoto Hannaryz is a professional Japanese basketball team based in Kyoto that competes in the B.League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kyoto Hannaryz
Target entity description: Kyoto Hannaryz is a professional Japanese basketball team based in Kyoto that competes in the B.League.
  • A. Hoisan
    Hoisan is an older romanization of Taishan, a county-level city in Guangdong, China, historically known for its large overseas Chinese diaspora.
  • B. Kashimayari
    Kashimayari is a ski resort in Japan’s Hakuba Valley, known for its varied terrain and scenic alpine setting.
  • C. Nokyōdō
    Nokyōdō is a small, historic hall within the Yamadera temple complex in Yamagata Prefecture, Japan, traditionally used for the stamping and inscription of Buddhist pilgrimage books.
  • D. Kanramachi
    Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
  • E. Kazegaura
    Kazegaura is a tranquil, wind-swept lakeside town in the visual novel "If My Heart Had Wings," known for its scenic vistas and serene atmosphere.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141c056cc819088dae6f2b9a1d526 completed April 28, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0abca09c308190a99573267f3020b8 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0abd6207688190ab6ba1a04fa663a7 completed May 18, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0abe80fe7c8190a648efabc360b06d completed May 18, 2026, 7:23 a.m.
Created at: April 16, 2026, 8:40 p.m.