Triple
T11998335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Area |
E285586
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tanjong Pagar |
E958903
|
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: Tanjong Pagar | Statement: [Central Area, contains, Tanjong Pagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanjong Pagar Context triple: [Central Area, contains, Tanjong Pagar]
-
A.
Tanjong Pagar
chosen
Tanjong Pagar is a historic and densely built-up district in central Singapore known for its conserved shophouses, vibrant dining scene, and mix of traditional and modern high-rise developments.
-
B.
Tanjong Sepat
Tanjong Sepat is a coastal town in the Sepang District of Selangor, Malaysia, known for its fishing industry, seafood, and seaside attractions.
-
C.
Bukit Merah
Bukit Merah is a residential and commercial planning area in central Singapore known for its public housing estates, amenities, and proximity to the city’s downtown.
-
D.
Ampang Point
Ampang Point is a prominent shopping mall and commercial hub located in Ampang Jaya, Selangor, Malaysia.
-
E.
Marina East, Singapore
Marina East, Singapore is a reclaimed coastal planning area and parkland zone located along the southeastern waterfront of Singapore, featuring recreational spaces and views of the city skyline.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c172788190b92042e9d10a48bf |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d183ee881908f1c0ca4562344a9 |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.