Triple
T36834811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okada Manila |
E910240
|
entity |
| Predicate | hasGamingFacility |
P103529
|
FINISHED |
| Object | table games |
—
|
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: table games | Statement: [Okada Manila, hasGamingFacility, table games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGamingFacility Context triple: [Okada Manila, hasGamingFacility, table games]
-
A.
hasGamingTables
chosen
Indicates that an entity provides or contains one or more tables specifically designated for gaming or gambling activities.
-
B.
hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
C.
hasSlotMachines
Indicates that an entity contains, offers, or is equipped with one or more slot machines.
-
D.
hasArcades
Indicates that one entity features or contains arcaded structures (a series of arches or covered passageways) associated with another entity.
-
E.
hasBingoHall
Indicates that one entity possesses, contains, or includes a bingo hall as part of its facilities or properties.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.