Triple
T4642279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilshire Grand Center |
E101680
|
entity |
| Predicate | hotelRooms |
P2402
|
FINISHED |
| Object | approximately 900 |
—
|
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: approximately 900 | Statement: [Wilshire Grand Center, hotelRooms, approximately 900]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hotelRooms Context triple: [Wilshire Grand Center, hotelRooms, approximately 900]
-
A.
numberOfHotelRooms
chosen
Indicates the total count of rooms that a given hotel has.
-
B.
hotelClass
Indicates the classification or rating level assigned to a hotel, such as its star category or quality tier.
-
C.
hotelCategory
Indicates the classification or rating level assigned to a hotel (e.g., star rating or category tier).
-
D.
numberOfBedrooms
Indicates the quantity of bedrooms associated with a given property or dwelling.
-
E.
hasPeriodRooms
Indicates that an entity contains rooms that are decorated or preserved to reflect specific historical periods.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a93047c8190990c94fd5a57c867 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5234d24c819095c79890b70eff9a |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:14 p.m.