Triple
T1816647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pahang |
E40450
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Kuantan |
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 | Statement: [Pahang, largestCity, Kuantan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuantan Context triple: [Pahang, largestCity, Kuantan]
-
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 Kangsar
Kuala Kangsar is a historic royal town in the Malaysian state of Perak, known as the traditional seat of the Perak Sultanate.
-
C.
Penang
Penang is a Malaysian state and island renowned for its multicultural heritage, historic George Town, and vibrant street food scene.
-
D.
Kuala Pilah
Kuala Pilah is a historic inland town in the Malaysian state of Negeri Sembilan, known for its traditional Minangkabau cultural heritage and role as an administrative and commercial center for the surrounding rural district.
-
E.
Kertajaya
Kertajaya was a 13th-century king of the Kediri Kingdom in Java, remembered for his conflict with the emerging Singhasari kingdom and his role in the region’s political transition.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65f614888190a475f7df627d5f0a |
completed | March 6, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d7d1f6c8190a1033c784091ffb8 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:32 p.m.