Triple

T9930030
Position Surface form Disambiguated ID Type / Status
Subject Bangka E192623 entity
Predicate hasTown P847 FINISHED
Object Belinyu
Belinyu is a coastal town in the northern part of Bangka Island in Indonesia, known historically for tin mining and fishing.
 E829261 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: Belinyu | Statement: [Bangka, hasTown, Belinyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belinyu
Context triple: [Bangka, hasTown, Belinyu]
  • A. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • B. Gorgany
    Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
  • C. Balya
    Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
  • D. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • E. Le Sépey
    Le Sépey is a small village in the canton of Vaud, Switzerland, situated in the Alps and serving as a local stop on the regional railway 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: Belinyu
Triple: [Bangka, hasTown, Belinyu]
Generated description
Belinyu is a coastal town in the northern part of Bangka Island in Indonesia, known historically for tin mining and fishing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belinyu
Target entity description: Belinyu is a coastal town in the northern part of Bangka Island in Indonesia, known historically for tin mining and fishing.
  • A. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • B. Gorgany
    Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
  • C. Balya
    Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
  • D. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • E. Le Sépey
    Le Sépey is a small village in the canton of Vaud, Switzerland, situated in the Alps and serving as a local stop on the regional railway 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_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.