Triple

T14126325
Position Surface form Disambiguated ID Type / Status
Subject Central Mamuju Regency E340042 entity
Predicate capital P234 FINISHED
Object Tobadak
Tobadak is a town in West Sulawesi, Indonesia, that serves as the administrative and political center of Central Mamuju Regency.
 E1081327 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: Tobadak | Statement: [Central Mamuju Regency, capital, Tobadak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tobadak
Context triple: [Central Mamuju Regency, capital, Tobadak]
  • A. Toabaita
    Toabaita is an Oceanic language spoken in the Solomon Islands, primarily on Malaita Island.
  • B. 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.
  • C. Ofogoula
    Ofogoula is an alternative name for the Ofo language, a now-extinct Siouan language once spoken by the Ofo people in the southeastern United States.
  • D. Dakaka
    Dakaka is an Oceanic language spoken by a small community in Vanuatu.
  • E. Tobalaba
    Tobalaba is a major Santiago Metro station in Chile that serves as an important transfer point between multiple lines in the city’s rapid transit network.
  • 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: Tobadak
Triple: [Central Mamuju Regency, capital, Tobadak]
Generated description
Tobadak is a town in West Sulawesi, Indonesia, that serves as the administrative and political center of Central Mamuju Regency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tobadak
Target entity description: Tobadak is a town in West Sulawesi, Indonesia, that serves as the administrative and political center of Central Mamuju Regency.
  • A. Toabaita
    Toabaita is an Oceanic language spoken in the Solomon Islands, primarily on Malaita Island.
  • B. 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.
  • C. Ofogoula
    Ofogoula is an alternative name for the Ofo language, a now-extinct Siouan language once spoken by the Ofo people in the southeastern United States.
  • D. Dakaka
    Dakaka is an Oceanic language spoken by a small community in Vanuatu.
  • E. Tobalaba
    Tobalaba is a major Santiago Metro station in Chile that serves as an important transfer point between multiple lines in the city’s rapid transit network.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0c833081908458e4eaee689df7 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce094bf3081909f7c0097dcb63398 completed May 7, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69fce14ff8e48190b3b663d130d18418 completed May 7, 2026, 7 p.m.
Created at: April 9, 2026, 10:22 p.m.