Triple
T12125214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Venetian Macao |
E288792
|
entity |
| Predicate | currencyUsedInCasino |
P103526
|
FINISHED |
| Object | Macanese pataca |
—
|
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: Macanese pataca | Statement: [The Venetian Macao, currencyUsedInCasino, Macanese pataca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyUsedInCasino Context triple: [The Venetian Macao, currencyUsedInCasino, Macanese pataca]
-
A.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
B.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
-
C.
inGameCurrency
Indicates that one entity functions as a form of currency or medium of exchange within the context of a specific game.
-
D.
hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
E.
currencyOfPurse
Indicates the type of currency that is contained in or associated with a given purse.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9183ec1008190b437b7d5e1f52830 |
completed | April 10, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.