Triple

T23054422
Position Surface form Disambiguated ID Type / Status
Subject Banggai Islands Regency E574112 entity
Predicate capital P234 FINISHED
Object Salakan
Salakan is a town in Central Sulawesi, Indonesia, serving as the administrative and economic center of the Banggai Islands Regency.
 E1568079 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: Salakan | Statement: [Banggai Islands Regency, capital, Salakan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salakan
Context triple: [Banggai Islands Regency, capital, Salakan]
  • A. Dansalan
    Dansalan is the former name of Marawi, a predominantly Muslim city and the capital of Lanao del Sur in the Philippines.
  • B. Kulitan
    Kulitan is the indigenous precolonial script used to write the Kapampangan language of the Philippines.
  • C. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • D. Alagbaka
    Alagbaka is a prominent administrative and commercial district in Akure, the capital city of Ondo State, Nigeria.
  • E. Sakpata
    Sakpata is a major Fon deity associated primarily with the earth, smallpox, and disease, often revered and feared as a powerful force over health and the land.
  • 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: Salakan
Triple: [Banggai Islands Regency, capital, Salakan]
Generated description
Salakan is a town in Central Sulawesi, Indonesia, serving as the administrative and economic center of the Banggai Islands Regency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salakan
Target entity description: Salakan is a town in Central Sulawesi, Indonesia, serving as the administrative and economic center of the Banggai Islands Regency.
  • A. Dansalan
    Dansalan is the former name of Marawi, a predominantly Muslim city and the capital of Lanao del Sur in the Philippines.
  • B. Kulitan
    Kulitan is the indigenous precolonial script used to write the Kapampangan language of the Philippines.
  • C. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • D. Alagbaka
    Alagbaka is a prominent administrative and commercial district in Akure, the capital city of Ondo State, Nigeria.
  • E. Sakpata
    Sakpata is a major Fon deity associated primarily with the earth, smallpox, and disease, often revered and feared as a powerful force over health and the land.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867eaed0819095c7da6b06101b12 completed April 29, 2026, 4:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ae217848190a2ecc1d008786a74 completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0ca174dc81909d872c906b2f6a19 completed May 19, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0cf0b1f8819083ea9c32433503fa completed May 19, 2026, 7:10 a.m.
Created at: April 17, 2026, 3:54 p.m.