Triple
T36834683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entertainment City |
E910237
|
entity |
| Predicate | thirdIntegratedResortOpened |
P76759
|
FINISHED |
| Object | Okada Manila |
—
|
NE NERFINISHED |
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: Okada Manila | Statement: [Entertainment City, thirdIntegratedResortOpened, Okada Manila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdIntegratedResortOpened Context triple: [Entertainment City, thirdIntegratedResortOpened, Okada Manila]
-
A.
casinoOpeningDate
Indicates the calendar date on which a casino first began operating or officially opened to the public.
-
B.
thirdBuildingOpened
chosen
Indicates that the third building in a sequence or group has been officially opened or made operational.
-
C.
universalStudiosOpeningDate
Indicates the calendar date on which a Universal Studios location officially opened to the public.
-
D.
oneOfThreeCommercialCasinosIn
Indicates that the subject is one of exactly three commercial casinos located in the specified place.
-
E.
openedAsResort
Indicates that something began operating or was first established in the capacity of a resort.
- 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_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 3, 2026, 4:13 p.m.