Triple
T23523187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home2 Suites by Hilton |
E574561
|
entity |
| Predicate | roomConfiguration |
P153090
|
FINISHED |
| Object | studio suites |
—
|
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: studio suites | Statement: [Home2 Suites by Hilton, roomConfiguration, studio suites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roomConfiguration Context triple: [Home2 Suites by Hilton, roomConfiguration, studio suites]
-
A.
cabinConfiguration
Indicates how the interior space of a vehicle, vessel, or aircraft is arranged and organized for occupants or cargo.
-
B.
roomSettingOfPart
Indicates that a room or environmental setting is the contextual location or configuration associated with a specific part or component.
-
C.
seatingConfiguration
Indicates how seats are arranged or organized relative to each other in a given context.
-
D.
typicalUnitConfiguration
Indicates the standard or commonly used arrangement, composition, or setup of a unit in a given context.
-
E.
amberRoomStatus
Indicates the current condition or state of the Amber Room in relation to its existence, location, or preservation.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac70b7888190b4abc4f78bdf539c |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:09 p.m.