Triple
T22398137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esplanade MRT station |
E553689
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Marina Centre |
—
|
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: Marina Centre | Statement: [Esplanade MRT station, servesArea, Marina Centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina Centre Context triple: [Esplanade MRT station, servesArea, Marina Centre]
-
A.
Marina Centre
chosen
Marina Centre is a commercial and entertainment precinct in Singapore’s central area, known for its shopping malls, hotels, and proximity to Marina Bay.
-
B.
Royal Wharf
Royal Wharf is a modern riverside residential and commercial development in East London situated along the River Thames.
-
C.
Victoria Dockside
Victoria Dockside is a major mixed-use art, design, and retail waterfront development in Hong Kong’s Tsim Sha Tsui district, featuring luxury residences, offices, hotels, and cultural spaces.
-
D.
Canada Square
Canada Square is a prominent public square and commercial area in Toronto’s North York district, known for its office towers, retail spaces, and connection to nearby parks and transit.
-
E.
Millennium Point
Millennium Point is a large science and technology hub and landmark building in Birmingham, England, housing cultural, educational, and museum spaces.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15861ac248190a967f534feea0265 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:46 p.m.