Triple
T26794379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney’s Hotel New York |
E670603
|
entity |
| Predicate | hasTypeOfRooms |
P153123
|
FINISHED |
| Object | standard 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: standard rooms | Statement: [Disney’s Hotel New York, hasTypeOfRooms, standard rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfRooms Context triple: [Disney’s Hotel New York, hasTypeOfRooms, standard rooms]
-
A.
hasHotelType
Indicates that a hotel is classified as belonging to a specific type or category (e.g., resort, boutique, hostel).
-
B.
hasSingleRooms
Indicates that an entity offers or includes individual rooms intended for single occupancy.
-
C.
roomTypeRange
chosen
Indicates that there is a specified allowable range or set of room types applicable to an entity or context.
-
D.
hasPeriodRooms
Indicates that an entity contains rooms that are decorated or preserved to reflect specific historical periods.
-
E.
hasLodgeType
Indicates that an entity is associated with or classified by a particular type or category of lodge.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 27, 2026, 4:18 a.m.