Triple
T24648021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | avid hotels |
E610168
|
entity |
| Predicate | roomTypeFocus |
P4152
|
FINISHED |
| Object | standardized guest rooms |
—
|
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: standardized guest rooms | Statement: [avid hotels, roomTypeFocus, standardized guest rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roomTypeFocus Context triple: [avid hotels, roomTypeFocus, standardized guest rooms]
-
A.
roomConfiguration
Indicates how elements within a room are arranged or organized relative to each other.
-
B.
chamberType
chosen
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
C.
roomNumberOfBedIn
Indicates the room number in which a given bed is located.
-
D.
amberRoomStatus
Indicates the current condition or state of the Amber Room in relation to its existence, location, or preservation.
-
E.
roomFunctionContext
Indicates the contextual role or purpose a room serves within a particular situation, activity, or usage scenario.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:33 a.m.