Triple
T36975430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabanas Hotel |
E914682
|
entity |
| Predicate | roomAmenity |
P79291
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [Cabanas Hotel, roomAmenity, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roomAmenity Context triple: [Cabanas Hotel, roomAmenity, television]
-
A.
amenitiesInclude
chosen
Indicates that a place or facility provides or contains specific amenities as part of its features.
-
B.
typicalAmenity
Indicates that something is a common or characteristic amenity typically associated with a given entity or context.
-
C.
roomConfiguration
Indicates how elements within a room are arranged or organized relative to each other.
-
D.
amenity
Indicates that one entity provides a useful facility, service, or feature that enhances the convenience or comfort of another entity.
-
E.
partOfFacility
Indicates that one entity is a component, section, or sub-unit belonging to a larger facility.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.