Triple

T11805931
Position Surface form Disambiguated ID Type / Status
Subject Saitama Prefecture E280745 entity
Predicate hasMascot P52 FINISHED
Object Kobaton
Kobaton is the official bird-themed mascot character of Japan’s Saitama Prefecture, designed to promote the region and appear at local events and campaigns.
 E948044 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: Kobaton | Statement: [Saitama Prefecture, hasMascot, Kobaton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kobaton
Context triple: [Saitama Prefecture, hasMascot, Kobaton]
  • A. Gobato
    Gobato is a regional dialect associated with the Berta language, spoken by the Berta people of northeastern Africa.
  • B. Kokane
    Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
  • C. Koshun
    Koshun is a music producer known for working on projects associated with the artist Amala.
  • D. Kotu
    Kotu is a small inhabited island in the Haʻapai group of the Kingdom of Tonga, known for its traditional Tongan village life and remote, low-lying coral landscape.
  • E. Kotu
    Kotu is a coastal suburb in the Gambia known for its beach resorts and tourism along the Atlantic shoreline.
  • 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: Kobaton
Triple: [Saitama Prefecture, hasMascot, Kobaton]
Generated description
Kobaton is the official bird-themed mascot character of Japan’s Saitama Prefecture, designed to promote the region and appear at local events and campaigns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kobaton
Target entity description: Kobaton is the official bird-themed mascot character of Japan’s Saitama Prefecture, designed to promote the region and appear at local events and campaigns.
  • A. Gobato
    Gobato is a regional dialect associated with the Berta language, spoken by the Berta people of northeastern Africa.
  • B. Kokane
    Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
  • C. Koshun
    Koshun is a music producer known for working on projects associated with the artist Amala.
  • D. Kotu
    Kotu is a small inhabited island in the Haʻapai group of the Kingdom of Tonga, known for its traditional Tongan village life and remote, low-lying coral landscape.
  • E. Kotu
    Kotu is a coastal suburb in the Gambia known for its beach resorts and tourism along the Atlantic shoreline.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1315b4b1481908106984a1362be89 completed April 28, 2026, 10:14 p.m.
NEDg Description generation batch_69f14e879aa88190a95f13e23dd346f4 completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f156fa5cc48190a43c1d2e5df346fe completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:42 p.m.