Triple
T9174066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultan of Selangor |
E220150
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Istana Bukit Kayangan |
E781914
|
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 Bukit Kayangan | Statement: [Sultan of Selangor, residence, Istana Bukit Kayangan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Istana Bukit Kayangan Context triple: [Sultan of Selangor, residence, Istana Bukit Kayangan]
-
A.
Istana Anak Bukit
Istana Anak Bukit is the official royal palace and administrative residence of the Sultan of Kedah in Malaysia.
-
B.
Taman Sari
Taman Sari is a district in Bogor Regency, West Java, Indonesia, known for its cool highland climate and proximity to Mount Salak.
-
C.
Istana Nurul Iman
Istana Nurul Iman is the official residence of the Sultan of Brunei and one of the largest royal palaces in the world, located in Bandar Seri Begawan.
-
D.
Istana Alam Shah
chosen
Istana Alam Shah is a royal palace in Klang, Malaysia, serving as the ceremonial and official seat of the Sultan of Selangor.
-
E.
Bukit Bintang
Bukit Bintang is a major shopping, entertainment, and nightlife district in Kuala Lumpur, Malaysia, known for its malls, street food, and vibrant urban atmosphere.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa128d48190b54b8f95d77d81cc |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c0a91ec8190a97002660b66aabe |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:23 p.m.