Triple

T8838639
Position Surface form Disambiguated ID Type / Status
Subject Sepang E210329 entity
Predicate stateSeat P84940 FINISHED
Object Dengkil
Dengkil is a town in the Sepang District of Selangor, Malaysia, known for its proximity to Putrajaya and Kuala Lumpur International Airport.
E761395 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: Dengkil | Statement: [Sepang, stateSeat, Dengkil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dengkil
Context triple: [Sepang, stateSeat, Dengkil]
  • A. Jasinga
    Jasinga is a district-level area in West Java, Indonesia, known as one of the administrative regions within Bogor Regency.
  • B. Bachok
    Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
  • C. Rantau
    Rantau is a state constituency in Malaysia’s Negeri Sembilan state, represented in the Negeri Sembilan State Legislative Assembly.
  • D. Kuala Klawang
    Kuala Klawang is a small town in Negeri Sembilan, Malaysia, known as the main administrative and commercial center of the surrounding Jelebu area.
  • E. 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.
  • 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: Dengkil
Triple: [Sepang, stateSeat, Dengkil]
Generated description
Dengkil is a town in the Sepang District of Selangor, Malaysia, known for its proximity to Putrajaya and Kuala Lumpur International Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dengkil
Target entity description: Dengkil is a town in the Sepang District of Selangor, Malaysia, known for its proximity to Putrajaya and Kuala Lumpur International Airport.
  • A. Jasinga
    Jasinga is a district-level area in West Java, Indonesia, known as one of the administrative regions within Bogor Regency.
  • B. Bachok
    Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
  • C. Rantau
    Rantau is a state constituency in Malaysia’s Negeri Sembilan state, represented in the Negeri Sembilan State Legislative Assembly.
  • D. Kuala Klawang
    Kuala Klawang is a small town in Negeri Sembilan, Malaysia, known as the main administrative and commercial center of the surrounding Jelebu area.
  • E. 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.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606c60ac8190b2b6bd7f042c02f8 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89933e8c81909672bcec70f7d5ce completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8bb6d7dc8190a91864130513fa4e completed April 3, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf8ca3e2788190a33fb28132944759 completed April 3, 2026, 9:47 a.m.
Created at: March 30, 2026, 6:48 p.m.