Triple
T12414724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldorf Astoria Washington DC |
E296605
|
entity |
| Predicate | rebrandedFromTrumpHotel |
P104991
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Waldorf Astoria Washington DC, rebrandedFromTrumpHotel, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rebrandedFromTrumpHotel Context triple: [Waldorf Astoria Washington DC, rebrandedFromTrumpHotel, 2022]
-
A.
acquiredByTrumpOrganization
Indicates that something was purchased or taken over in ownership by the Trump Organization.
-
B.
announcedRebrandingAs
Indicates that one entity has publicly declared it will change its name, brand, or identity to that of another entity.
-
C.
hotelBrand
Indicates that a hotel is affiliated with, operated by, or marketed under a specific hotel brand.
-
D.
renamedAsCapitalOneArena
Indicates that an entity has undergone a name change to become "Capital One Arena."
-
E.
SearsTowerLaterRenamed
Indicates that something originally known as the Sears Tower was later given a different official name.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e15f21c8190831c9562ffdd4fda |
completed | April 10, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:55 p.m.