Triple

T9930028
Position Surface form Disambiguated ID Type / Status
Subject Bangka E192623 entity
Predicate hasCity P316 FINISHED
Object Muntok
Muntok is a coastal town on the western tip of Bangka Island in Indonesia, historically known as an important tin-mining and trading port.
E829259 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: Muntok | Statement: [Bangka, hasCity, Muntok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muntok
Context triple: [Bangka, hasCity, Muntok]
  • A. Sawu
    Sawu is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
  • B. Mendanau
    Mendanau is an island in Indonesia’s Bangka Belitung province, known for its coastal landscapes and role in the region’s maritime and fishing activities.
  • C. Mount Wanggameti
    Mount Wanggameti is the tallest mountain on the Indonesian island of Sumba, known for its forested slopes and biodiversity within protected conservation areas.
  • D. Selopanggung
    Selopanggung is a village in East Java, Indonesia, historically noted as the place where Indonesian independence leader Tan Malaka was killed.
  • E. Mount Lokon
    Mount Lokon is an active stratovolcano in North Sulawesi, Indonesia, known for its frequent eruptions and significant volcanic activity.
  • 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: Muntok
Triple: [Bangka, hasCity, Muntok]
Generated description
Muntok is a coastal town on the western tip of Bangka Island in Indonesia, historically known as an important tin-mining and trading port.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Muntok
Target entity description: Muntok is a coastal town on the western tip of Bangka Island in Indonesia, historically known as an important tin-mining and trading port.
  • A. Sawu
    Sawu is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
  • B. Mendanau
    Mendanau is an island in Indonesia’s Bangka Belitung province, known for its coastal landscapes and role in the region’s maritime and fishing activities.
  • C. Mount Wanggameti
    Mount Wanggameti is the tallest mountain on the Indonesian island of Sumba, known for its forested slopes and biodiversity within protected conservation areas.
  • D. Selopanggung
    Selopanggung is a village in East Java, Indonesia, historically noted as the place where Indonesian independence leader Tan Malaka was killed.
  • E. Mount Lokon
    Mount Lokon is an active stratovolcano in North Sulawesi, Indonesia, known for its frequent eruptions and significant volcanic activity.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b4196881909a004091a4203c45 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e258e888190ae4e2abac80e3399 completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d21229a1188190899df0d8d7f78a7d completed April 5, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69d212a46ee48190aa629a189dee531d completed April 5, 2026, 7:43 a.m.
Created at: March 30, 2026, 8:43 p.m.