Triple

T6505126
Position Surface form Disambiguated ID Type / Status
Subject Southeast Sulawesi E149987 entity
Predicate hasIsland P970 FINISHED
Object Binongko
Binongko is an island in Indonesia’s Wakatobi archipelago, known for its traditional blacksmithing culture and remote, rugged coastal landscapes.
 E600666 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: Binongko | Statement: [Southeast Sulawesi, hasIsland, Binongko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Binongko
Context triple: [Southeast Sulawesi, hasIsland, Binongko]
  • A. Binalong
    Binalong is a small rural village in New South Wales, Australia, known for its historic buildings and pastoral surroundings.
  • B. Ko Bangu
    Ko Bangu is one of the smaller islands in Thailand’s Similan Islands archipelago, known for its clear waters and rich marine life that make it a popular diving and snorkeling site.
  • C. Sibulan
    Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
  • D. Kabugao
    Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • E. Guinsiliban
    Guinsiliban is a coastal municipality on the island-province of Camiguin in the Philippines, known for its rural communities and proximity to volcanic landscapes and marine attractions.
  • 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: Binongko
Triple: [Southeast Sulawesi, hasIsland, Binongko]
Generated description
Binongko is an island in Indonesia’s Wakatobi archipelago, known for its traditional blacksmithing culture and remote, rugged coastal landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Binongko
Target entity description: Binongko is an island in Indonesia’s Wakatobi archipelago, known for its traditional blacksmithing culture and remote, rugged coastal landscapes.
  • A. Binalong
    Binalong is a small rural village in New South Wales, Australia, known for its historic buildings and pastoral surroundings.
  • B. Ko Bangu
    Ko Bangu is one of the smaller islands in Thailand’s Similan Islands archipelago, known for its clear waters and rich marine life that make it a popular diving and snorkeling site.
  • C. Sibulan
    Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
  • D. Kabugao
    Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • E. Guinsiliban
    Guinsiliban is a coastal municipality on the island-province of Camiguin in the Philippines, known for its rural communities and proximity to volcanic landscapes and marine attractions.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69966ff708190902c88cb6b48e5d7 completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb43db608190b785e77f6850bb6f completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cc96edd08190b0c0f1b49dd64160 completed March 27, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd8d15ec8190be5a8c5e3f201139 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 1:43 p.m.