Triple
T34884432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotana Hotels & Resorts |
E1006103
|
entity |
| Predicate | firstHotelOpenedIn |
P125421
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Rotana Hotels & Resorts, firstHotelOpenedIn, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstHotelOpenedIn Context triple: [Rotana Hotels & Resorts, firstHotelOpenedIn, 1993]
-
A.
firstLocationOpeningDate
chosen
Indicates the date on which the first location associated with the subject entity was opened.
-
B.
openedFirstBoutiqueIn
Indicates that an entity established its first boutique or retail store in a specified location.
-
C.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
D.
casinoOpeningDate
Indicates the calendar date on which a casino first began operating or officially opened to the public.
-
E.
hallOpenedIn
Indicates that a particular hall began operating or was officially opened in a specified time or event.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.