Triple

T15725701
Position Surface form Disambiguated ID Type / Status
Subject Qixi Festival E381211 entity
Predicate relatedFestival P7623 FINISHED
Object Tanabata E771084 NE FINISHED

How this triple was built (2 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: Tanabata | Statement: [Qixi Festival, relatedFestival, Tanabata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanabata
Context triple: [Qixi Festival, relatedFestival, Tanabata]
  • A. Tanabata chosen
    Tanabata is a traditional Japanese star festival celebrating the annual meeting of the deities Orihime and Hikoboshi, marked by colorful decorations and wishes written on paper strips.
  • B. Matsuri
    "Matsuri" is a notable musical work by Japanese new-age musician Kitaro, known for its evocative, festival-inspired soundscapes.
  • C. Ginga
    Ginga was a Japanese X-ray astronomy satellite that conducted important observations of cosmic X-ray sources in the late 1980s and early 1990s.
  • D. Midori no Hi
    Midori no Hi is a Japanese national holiday dedicated to appreciating nature and the environment.
  • E. Tsukumi
    Tsukumi is a coastal city in Japan known for its cement industry and location along the Bungo Channel in Ōita Prefecture on Kyushu Island.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb357a88190a92641c8a8c20573 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f8b88081909855d3da0346fa25 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.