Triple

T12149515
Position Surface form Disambiguated ID Type / Status
Subject Johor Bahru E289416 entity
Predicate hasAttraction P105 FINISHED
Object Istana Besar E289502 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: Istana Besar | Statement: [Johor Bahru, hasAttraction, Istana Besar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Istana Besar
Context triple: [Johor Bahru, hasAttraction, Istana Besar]
  • A. Istana Besar chosen
    Istana Besar is a grand royal palace in Johor Bahru that historically served as the main residence of the Sultan of Johor and a symbol of the state's monarchy.
  • B. The Istana
    The Istana is the official presidential palace and primary ceremonial venue of Singapore, serving as the office and residence of the President.
  • C. Istana Iskandariah
    Istana Iskandariah is the royal palace and primary official residence of the reigning Sultan of Perak in Malaysia.
  • D. Istana Arau
    Istana Arau is the royal palace and official residence of the Raja of Perlis in the town of Arau, Malaysia.
  • E. Istana Maziah
    Istana Maziah is a historic royal palace in Kuala Terengganu, Malaysia, serving as the ceremonial and official seat of the Sultan of Terengganu.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ad6ef08190b334a97d6ab41487 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f698c5648190a5a29e08f2b7d8ab completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.