Triple

T10958695
Position Surface form Disambiguated ID Type / Status
Subject International Islamic University Malaysia E258909 entity
Predicate campus P269 FINISHED
Object Kuantan, Pahang E239855 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: Kuantan, Pahang | Statement: [International Islamic University Malaysia, campus, Kuantan, Pahang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuantan, Pahang
Context triple: [International Islamic University Malaysia, campus, Kuantan, Pahang]
  • A. Kuantan chosen
    Kuantan is a coastal city on the east coast of Peninsular Malaysia known as a major economic and cultural center and gateway to the South China Sea.
  • B. Kuala Terengganu
    Kuala Terengganu is a coastal city in northeastern Peninsular Malaysia known for its Islamic heritage architecture, traditional Malay culture, and proximity to popular island destinations.
  • C. Kulim
    Kulim is a prominent town and industrial hub in the Malaysian state of Kedah, known for its high-tech manufacturing and proximity to Penang.
  • D. 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.
  • E. Kuala Kangsar
    Kuala Kangsar is a historic royal town in the Malaysian state of Perak, known as the traditional seat of the Perak Sultanate.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77126d9288190aa5daf2ba83d731d completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d751e8e081908f31ab2d82105c3c completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.