Triple
T4999065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurgling Suitcase Libations & Spirits |
E112321
|
entity |
| Predicate | hasDiningPlanCategory |
P47336
|
FINISHED |
| Object | lounge |
—
|
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: lounge | Statement: [Gurgling Suitcase Libations & Spirits, hasDiningPlanCategory, lounge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiningPlanCategory Context triple: [Gurgling Suitcase Libations & Spirits, hasDiningPlanCategory, lounge]
-
A.
diningPlanEligible
Indicates that an entity qualifies for or is allowed to participate in a specified dining plan.
-
B.
diningPlanCategory
chosen
Indicates the classification or type of dining plan associated with an entity, such as a person, reservation, or accommodation.
-
C.
hasDiningFeature
Indicates that something possesses a specific characteristic, amenity, or attribute related to dining.
-
D.
hasCheckInCategory
Indicates that an entity is associated with a specific category or type of check-in event.
-
E.
hasPlan
Indicates that an entity possesses or is associated with a specific plan or course of action.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.