Triple
T18740023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orchard Road |
E458263
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Plaza Singapura |
—
|
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: Plaza Singapura | Statement: [Orchard Road, hasLandmark, Plaza Singapura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plaza Singapura Context triple: [Orchard Road, hasLandmark, Plaza Singapura]
-
A.
Plaza Singapura
chosen
Plaza Singapura is a large shopping mall on Singapore’s Orchard Road, known for its wide range of retail, dining, and entertainment options.
-
B.
Republic Plaza, Singapore
Republic Plaza in Singapore is a prominent skyscraper in the city's central business district, known for its postmodern design by Japanese architect Kisho Kurokawa.
-
C.
Raffles Place
Raffles Place is a major commercial and financial district in downtown Singapore, known for its concentration of office skyscrapers and proximity to the Singapore River.
-
D.
Dhoby Ghaut
Dhoby Ghaut is a major commercial and transport hub in central Singapore, known for its busy MRT interchange and proximity to shopping malls and cultural landmarks.
-
E.
Raffles Quay
Raffles Quay is a key commercial street in Singapore’s central business district, lined with office towers and financial institutions.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768d6a208190817abe904fab433b |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.