Triple

T19170903
Position Surface form Disambiguated ID Type / Status
Subject Hishammuddin Hussein E469315 entity
Predicate representedConstituency P15002 FINISHED
Object Sembrong
Sembrong is a federal parliamentary constituency in the state of Johor, Malaysia.
 E1361615 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: Sembrong | Statement: [Hishammuddin Hussein, representedConstituency, Sembrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sembrong
Context triple: [Hishammuddin Hussein, representedConstituency, Sembrong]
  • A. Kepahiang
    Kepahiang is a region in Bengkulu, Sumatra, Indonesia, historically associated with the Rejang people and their traditional Rejang script.
  • B. Pangcah
    Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
  • C. Sengkuni
    Sengkuni is a cunning and manipulative character in Javanese adaptations of the Mahabharata, often portrayed as a scheming advisor who fuels conflict and deceit.
  • D. Sengkang
    Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
  • E. Singasandra
    Singasandra is a rapidly developing residential and commercial suburb in the southern part of Bengaluru, Karnataka, known for its proximity to major IT hubs and good road connectivity.
  • 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: Sembrong
Triple: [Hishammuddin Hussein, representedConstituency, Sembrong]
Generated description
Sembrong is a federal parliamentary constituency in the state of Johor, Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sembrong
Target entity description: Sembrong is a federal parliamentary constituency in the state of Johor, Malaysia.
  • A. Kepahiang
    Kepahiang is a region in Bengkulu, Sumatra, Indonesia, historically associated with the Rejang people and their traditional Rejang script.
  • B. Pangcah
    Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
  • C. Sengkuni
    Sengkuni is a cunning and manipulative character in Javanese adaptations of the Mahabharata, often portrayed as a scheming advisor who fuels conflict and deceit.
  • D. Sengkang
    Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
  • E. Singasandra
    Singasandra is a rapidly developing residential and commercial suburb in the southern part of Bengaluru, Karnataka, known for its proximity to major IT hubs and good road connectivity.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f163c5888190b4880471d17b4f51 completed April 20, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f2639f188190aa87c1b31b5dcb7b completed May 15, 2026, 10:16 a.m.
NEDg Description generation batch_6a06f338f504819081daeef10e629afd completed May 15, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4199a588190943d3d45536a228c completed May 15, 2026, 10:23 a.m.
Created at: April 10, 2026, 12:06 p.m.