Triple
T18701088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reflections at Keppel Bay |
E457249
|
entity |
| Predicate | numberOfLowRiseBlocks |
P92310
|
FINISHED |
| Object | 11 |
—
|
LITERAL 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: 11 | Statement: [Reflections at Keppel Bay, numberOfLowRiseBlocks, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLowRiseBlocks Context triple: [Reflections at Keppel Bay, numberOfLowRiseBlocks, 11]
-
A.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
B.
numberOfBlocks
chosen
Indicates the quantity of discrete block units associated with or contained by a given entity.
-
C.
numberOfBasementLevels
Indicates the total count of basement levels associated with a given structure or property.
-
D.
numberOfResidentialFloors
Indicates the total count of floors in a building that are designated for residential use.
-
E.
hasBaseBuildingFloors
Indicates that something (such as a building or structure) has a specified number of floors in its base or main part.
- F. None of above.
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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671391048190bba7606f4283ca09 |
completed | April 19, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.