Triple
T14542813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold Coast theme park precinct |
E341211
|
entity |
| Predicate | hasAccommodationOptions |
P17960
|
FINISHED |
| Object | nearby hotels |
—
|
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: nearby hotels | Statement: [Gold Coast theme park precinct, hasAccommodationOptions, nearby hotels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccommodationOptions Context triple: [Gold Coast theme park precinct, hasAccommodationOptions, nearby hotels]
-
A.
hasAccommodation
chosen
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
B.
accommodationStyle
Indicates the manner or type of lodging or housing arrangement provided or used in a given context.
-
C.
hasCampingOption
Indicates that an entity offers or includes the possibility to camp (e.g., designated camping facilities or areas).
-
D.
hasLodgeType
Indicates that an entity is associated with or classified by a particular type or category of lodge.
-
E.
sleepingAccommodation
Indicates that one entity serves as a place or facility where another entity can sleep or stay overnight.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1be5a8081909bf727e28a5bba4a |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.