Triple

T9866933
Position Surface form Disambiguated ID Type / Status
Subject Kuantan E239855 entity
Predicate nearTown P2064 FINISHED
Object Gambang
Gambang is a small town in Pahang, Malaysia, known for its educational institutions and the Bukit Gambang Resort City water and theme park.
 E825859 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: Gambang | Statement: [Kuantan, nearTown, Gambang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gambang
Context triple: [Kuantan, nearTown, Gambang]
  • A. Gambang Kromong
    Gambang Kromong is a traditional Betawi musical ensemble from Jakarta that blends indigenous, Chinese, and Malay influences using distinctive percussion and melodic instruments.
  • B. Panggi
    Panggi is a subgroup or community within the larger Adi ethnic group of Arunachal Pradesh in northeastern India.
  • C. Sanggar
    Sanggar is a settlement on the island of Sumbawa in Indonesia that was devastated by the catastrophic 1815 eruption of Mount Tambora.
  • D. Gadjang
    Gadjang is an Aboriginal Australian language variety associated with the Worimi people of New South Wales.
  • E. Sangesari
    Sangesari is an Iranian language spoken in parts of northern Iran, particularly in the Semnan Province.
  • 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: Gambang
Triple: [Kuantan, nearTown, Gambang]
Generated description
Gambang is a small town in Pahang, Malaysia, known for its educational institutions and the Bukit Gambang Resort City water and theme park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gambang
Target entity description: Gambang is a small town in Pahang, Malaysia, known for its educational institutions and the Bukit Gambang Resort City water and theme park.
  • A. Gambang Kromong
    Gambang Kromong is a traditional Betawi musical ensemble from Jakarta that blends indigenous, Chinese, and Malay influences using distinctive percussion and melodic instruments.
  • B. Panggi
    Panggi is a subgroup or community within the larger Adi ethnic group of Arunachal Pradesh in northeastern India.
  • C. Sanggar
    Sanggar is a settlement on the island of Sumbawa in Indonesia that was devastated by the catastrophic 1815 eruption of Mount Tambora.
  • D. Gadjang
    Gadjang is an Aboriginal Australian language variety associated with the Worimi people of New South Wales.
  • E. Sangesari
    Sangesari is an Iranian language spoken in parts of northern Iran, particularly in the Semnan Province.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d209ac8190b9bc9ff017a132da completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e4544d008190a70ec0d490da8ef2 completed April 5, 2026, 4:25 a.m.
NEDg Description generation batch_69d1e5204f748190b1f56ee5469828a2 completed April 5, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69d1e598243481909278cb3c911ce3db completed April 5, 2026, 4:31 a.m.
Created at: March 30, 2026, 8:36 p.m.