Triple

T250538
Position Surface form Disambiguated ID Type / Status
Subject Baybayin E5135 entity
Predicate ISO15924Code P208 FINISHED
Object Tglg
Tglg is the ISO 15924 script code assigned to the precolonial Philippine writing system Baybayin.
E32366 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: Tglg | Statement: [Baybayin, ISO15924Code, Tglg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tglg
Context triple: [Baybayin, ISO15924Code, Tglg]
  • A. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • B. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • C. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • D. Gelem Gelem
    Gelem Gelem is the Romani people’s anthem, a song that expresses their shared history, suffering, and cultural identity.
  • E. Sendagaya
    Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
  • 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: Tglg
Triple: [Baybayin, ISO15924Code, Tglg]
Generated description
Tglg is the ISO 15924 script code assigned to the precolonial Philippine writing system Baybayin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tglg
Target entity description: Tglg is the ISO 15924 script code assigned to the precolonial Philippine writing system Baybayin.
  • A. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • B. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • C. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • D. Gelem Gelem
    Gelem Gelem is the Romani people’s anthem, a song that expresses their shared history, suffering, and cultural identity.
  • E. Sendagaya
    Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d38aba8819081d0958eb60ce27e completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a37373426881909ce8766ad9c5778c completed Feb. 28, 2026, 11 p.m.
NEDg Description generation batch_69a373dfb6c0819092ebfe465b7be3c9 completed Feb. 28, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69a3748a9ea4819080b2cea1f1b4afbc completed Feb. 28, 2026, 11:04 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.