Triple
T12156720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sands Macao |
E289593
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Sands China |
E56570
|
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: Sands China | Statement: [Sands Macao, partOf, Sands China]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sands China Context triple: [Sands Macao, partOf, Sands China]
-
A.
Sands China
chosen
Sands China is a leading integrated resort and casino operator in Macau, known for flagship properties such as The Venetian Macao and The Parisian Macao.
-
B.
Galaxy Entertainment Group
Galaxy Entertainment Group is a leading Hong Kong-based gaming and hospitality company best known for operating large-scale casino resorts in Macau.
-
C.
MGM China
MGM China is a leading casino and hospitality company operating major integrated resort properties in Macau.
-
D.
Melco Resorts & Entertainment
Melco Resorts & Entertainment is a prominent developer and operator of integrated casino resorts, particularly known for its large-scale luxury gaming and entertainment properties in Asia.
-
E.
Dalian Wanda Group
Dalian Wanda Group is a major Chinese multinational conglomerate with core businesses in commercial property, entertainment, and tourism.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c1673c8190830cd15525d16869 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ee46e608190ac824c3c8306013e |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:50 p.m.