Triple

T11266533
Position Surface form Disambiguated ID Type / Status
Subject Petaling Jaya E266700 entity
Predicate borderedBy P224 FINISHED
Object Shah Alam E263387 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: Shah Alam | Statement: [Petaling Jaya, borderedBy, Shah Alam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shah Alam
Context triple: [Petaling Jaya, borderedBy, Shah Alam]
  • A. Shah Alam chosen
    Shah Alam is a planned city in Malaysia known as the administrative and commercial center of the state of Selangor.
  • B. Alor Setar
    Alor Setar is a major city in northwestern Peninsular Malaysia known as an administrative, cultural, and commercial hub near the border with Thailand.
  • C. Petaling Jaya
    Petaling Jaya is a major city in the state of Selangor, Malaysia, known as a key commercial and residential hub adjacent to Kuala Lumpur.
  • D. Bandar Seri Jempol
    Bandar Seri Jempol is a principal town and local commercial hub in the Jempol District of Negeri Sembilan, Malaysia.
  • E. Putrajaya
    Putrajaya is Malaysia’s planned federal administrative capital, known for its modern architecture, landscaped boulevards, and numerous government complexes.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5258cc5208190be268ac6a82c9419 completed April 19, 2026, 6:57 p.m.
Created at: April 8, 2026, 9:31 p.m.