Triple
T13057876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood Hills Amphitheater (Disney's Hollywood Studios) |
E327623
|
entity |
| Predicate | guestAmenity |
P79291
|
FINISHED |
| Object | restroom facilities nearby |
—
|
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: restroom facilities nearby | Statement: [Hollywood Hills Amphitheater (Disney's Hollywood Studios), guestAmenity, restroom facilities nearby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guestAmenity Context triple: [Hollywood Hills Amphitheater (Disney's Hollywood Studios), guestAmenity, restroom facilities nearby]
-
A.
amenitiesInclude
chosen
Indicates that a place or facility provides or contains specific amenities as part of its features.
-
B.
hasAmenityAccessTo
Indicates that an entity has the right or ability to use or benefit from a specified amenity or facility.
-
C.
hasGoodsFacilities
Indicates that a location or entity is equipped with facilities for handling, storing, or processing goods or cargo.
-
D.
cabinFeatures
Indicates that a cabin possesses or includes specific features, amenities, or characteristics.
-
E.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 8:58 p.m.