Triple

T21085870
Position Surface form Disambiguated ID Type / Status
Subject IDBLW E519485 entity
Predicate hasName P744 FINISHED
Object Belawan
Belawan is a major port town in North Sumatra, Indonesia, serving as an important maritime gateway for the city of Medan and the surrounding region.
E1466496 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: Belawan | Statement: [IDBLW, hasName, Belawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belawan
Context triple: [IDBLW, hasName, Belawan]
  • A. Tarutung
    Tarutung is a principal town in North Sumatra, Indonesia, serving as an administrative and cultural center for the Tapanuli region.
  • B. Lubuk Pakam
    Lubuk Pakam is an administrative town in North Sumatra, Indonesia, known as a local governmental and commercial center in the region.
  • C. Meulaboh
    Meulaboh is a coastal town in Aceh, Indonesia, known historically as a center of resistance during the Acehnese struggle against Dutch colonial rule.
  • D. Gedebage
    Gedebage is a district in the eastern part of Bandung, West Java, Indonesia, known for its growing urban development and strategic transport links.
  • E. Keningau
    Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
  • 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: Belawan
Triple: [IDBLW, hasName, Belawan]
Generated description
Belawan is a major port town in North Sumatra, Indonesia, serving as an important maritime gateway for the city of Medan and the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belawan
Target entity description: Belawan is a major port town in North Sumatra, Indonesia, serving as an important maritime gateway for the city of Medan and the surrounding region.
  • A. Tarutung
    Tarutung is a principal town in North Sumatra, Indonesia, serving as an administrative and cultural center for the Tapanuli region.
  • B. Lubuk Pakam
    Lubuk Pakam is an administrative town in North Sumatra, Indonesia, known as a local governmental and commercial center in the region.
  • C. Meulaboh
    Meulaboh is a coastal town in Aceh, Indonesia, known historically as a center of resistance during the Acehnese struggle against Dutch colonial rule.
  • D. Gedebage
    Gedebage is a district in the eastern part of Bandung, West Java, Indonesia, known for its growing urban development and strategic transport links.
  • E. Keningau
    Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094ad1c08190a4b9d2668a6362b2 completed April 21, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a560a508190b4e69a73e6302836 completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c58689481909fb5ab261870e7e6 completed May 17, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a095d21b59881909898c9581fc21ba7 completed May 17, 2026, 6:16 a.m.
Created at: April 16, 2026, 2:50 p.m.