Triple
T12125263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Parisian Macao |
E288793
|
entity |
| Predicate | hasGamingTables |
P103529
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Parisian Macao, hasGamingTables, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGamingTables Context triple: [The Parisian Macao, hasGamingTables, yes]
-
A.
numberOfTableGames
Indicates the quantity of table games associated with or available in relation to a given entity.
-
B.
hasSlotMachines
Indicates that an entity contains, offers, or is equipped with one or more slot machines.
-
C.
hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
D.
gamingSpace
Indicates a relationship where a space, area, or environment is designated or used specifically for gaming activities.
-
E.
supportsTabletopMode
Indicates that an object, device, or system is capable of operating in or providing a tabletop mode of use.
- 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.