Triple
T621000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney's Pop Century Resort |
E14511
|
entity |
| Predicate | roomType |
P4152
|
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 Pop Century Resort, roomType, standard rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roomType Context triple: [Disney's Pop Century Resort, roomType, standard rooms]
-
A.
chamberType
chosen
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
B.
amberRoomStatus
Indicates the current condition or state of the Amber Room in relation to its existence, location, or preservation.
-
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.
hotelClass
Indicates the classification or rating level assigned to a hotel, such as its star category or quality tier.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e3e5d80819096e72e11b533f931 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfe9bc081909a01b4b3b48f03b7 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.