Triple
T29096690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mon Signor Hotel |
E735023
|
entity |
| Predicate | roomAsSetting |
P94119
|
FINISHED |
| Object | honeymoon suite |
—
|
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: honeymoon suite | Statement: [Mon Signor Hotel, roomAsSetting, honeymoon suite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roomAsSetting Context triple: [Mon Signor Hotel, roomAsSetting, honeymoon suite]
-
A.
roomConfiguration
Indicates how elements within a room are arranged or organized relative to each other.
-
B.
roomSettingOfPart
chosen
Indicates that a room or environmental setting is the contextual location or configuration associated with a specific part or component.
-
C.
bedroomAssociatedWith
Indicates that there is a contextual or functional association between a bedroom and another entity (such as an object, feature, or space).
-
D.
usedInRoom
Indicates that something is utilized or functions within a particular room or enclosed space.
-
E.
roomNumberOfBedIn
Indicates the room number in which a given bed is located.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6618129b08190ac4bbb0cd24d957c |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:09 a.m.