Triple

T12919151
Position Surface form Disambiguated ID Type / Status
Subject Sunway Pyramid E309068 entity
Predicate locatedIn P40 FINISHED
Object Subang Jaya E210328 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: Subang Jaya | Statement: [Sunway Pyramid, locatedIn, Subang Jaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subang Jaya
Context triple: [Sunway Pyramid, locatedIn, Subang Jaya]
  • A. Subang Jaya chosen
    Subang Jaya is a major suburban city in the Klang Valley region of Malaysia, known for its dense residential areas, commercial hubs, and educational institutions.
  • B. Segambut
    Segambut is a parliamentary constituency and township area in Kuala Lumpur, Malaysia, encompassing both residential and institutional landmarks.
  • C. Jasinga
    Jasinga is a district-level area in West Java, Indonesia, known as one of the administrative regions within Bogor Regency.
  • D. Pandan Jaya
    Pandan Jaya is a residential and commercial township located within the municipality of Ampang Jaya in Selangor, Malaysia.
  • E. Kajang
    Kajang is a major town in the Hulu Langat District of Selangor, Malaysia, known for its satay and role as a rapidly developing suburban and commercial hub near Kuala Lumpur.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971e6d9fc8190b8a5244b26b5f78a completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5ffcc48190bf93ce32e4aecfcd completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:41 p.m.