Triple
T22657401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bintan |
E559263
|
entity |
| Predicate | hasFerryConnectionTo |
P1831
|
FINISHED |
| Object | Johor Bahru |
—
|
NE NERFINISHED |
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: Johor Bahru | Statement: [Bintan, hasFerryConnectionTo, Johor Bahru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johor Bahru Context triple: [Bintan, hasFerryConnectionTo, Johor Bahru]
-
A.
Johor Bahru
chosen
Johor Bahru is a large, rapidly developing city in southern Peninsular Malaysia, located just across the causeway from Singapore and serving as the capital of Johor state.
-
B.
Penang
Penang is a Malaysian state and island renowned for its multicultural heritage, historic George Town, and vibrant street food scene.
-
C.
Shah Alam
Shah Alam is a planned city in Malaysia known as the administrative and commercial center of the state of Selangor.
-
D.
Kuala Lumpur
Kuala Lumpur is the capital and largest city of Malaysia, known for its modern skyline dominated by the Petronas Twin Towers and its role as the country’s cultural, financial, and economic center.
-
E.
Putrajaya
Putrajaya is Malaysia’s planned federal administrative capital, known for its modern architecture, landscaped boulevards, and numerous government complexes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765c62bc8190b3fcde76d6b6dfb6 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.