Triple
T11378635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resorts World Sentosa |
E269532
|
entity |
| Predicate | totalInvestment |
P98995
|
FINISHED |
| Object | S$6.59 billion |
—
|
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: S$6.59 billion | Statement: [Resorts World Sentosa, totalInvestment, S$6.59 billion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalInvestment Context triple: [Resorts World Sentosa, totalInvestment, S$6.59 billion]
-
A.
typicalInvestmentSize
Indicates the usual or most common amount of money invested in a single investment or deal.
-
B.
totalAidAmountUSD
Indicates the total monetary value of aid provided, expressed in U.S. dollars.
-
C.
owedMoneyTo
Indicates that one entity has a financial obligation or debt that must be paid to another entity.
-
D.
usedCapital
Indicates that an entity made use of a particular capital city as its seat of government or primary administrative center.
-
E.
totalGross
Indicates the overall amount of money generated in revenue, typically from all sources over a specified period or for a specific work or event.
- F. None of above. chosen
Provenance (4 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:33 p.m.