Triple

T5944367
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Wajo E132242 entity
Predicate capital P234 FINISHED
Object Tosora
Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
 E557524 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: Tosora | Statement: [Kingdom of Wajo, capital, Tosora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tosora
Context triple: [Kingdom of Wajo, capital, Tosora]
  • A. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • B. Tora
    Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
  • C. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • D. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • E. Togoshi
    Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local 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: Tosora
Triple: [Kingdom of Wajo, capital, Tosora]
Generated description
Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tosora
Target entity description: Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
  • A. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • B. Tora
    Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
  • C. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • D. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • E. Togoshi
    Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03937b4a88190819a1fd63fc3d3ed completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c084fce481909c306d6eeb99066d completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c19665b08190ab3c66b7c6c33f61 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c4576824819080ced71df8fdda6c completed March 23, 2026, 4:40 a.m.
Created at: March 22, 2026, 4:01 p.m.