Triple

T16834997
Position Surface form Disambiguated ID Type / Status
Subject Sepang District E409251 entity
Predicate contains P35 FINISHED
Object Bandar Serenia E761391 NE FINISHED

How this triple was built (2 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: Bandar Serenia | Statement: [Sepang District, contains, Bandar Serenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandar Serenia
Context triple: [Sepang District, contains, Bandar Serenia]
  • A. Bandar Serenia chosen
    Bandar Serenia is a planned township in Sepang, Selangor, Malaysia, known for its proximity to Kuala Lumpur International Airport and emerging residential and commercial developments.
  • B. Bandar Kinrara
    Bandar Kinrara is a suburban township in Puchong, Selangor, Malaysia, known for its residential neighborhoods, schools, and proximity to major Kuala Lumpur city amenities.
  • C. Bandarpunch
    Bandarpunch is a prominent Himalayan mountain massif in the Garhwal region of Uttarakhand, India, known for its snow-clad peaks and challenging trekking and mountaineering routes.
  • D. Bandar-e Kangan
    Bandar-e Kangan is a coastal city in southern Iran that serves as an important port and energy hub on the Persian Gulf.
  • E. Damansara
    Damansara is a prominent township and commercial hub in the Klang Valley region of Selangor, Malaysia, known for its shopping, dining, and residential developments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31aa44c8190b4f402f1898e6998 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb13ec908190853627066fb2c492 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.