Triple
T14108305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark & Tropical Stormy |
E339564
|
entity |
| Predicate | isServedAtLocationType |
P5294
|
FINISHED |
| Object | tiki bar |
—
|
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: tiki bar | Statement: [Dark & Tropical Stormy, isServedAtLocationType, tiki bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isServedAtLocationType Context triple: [Dark & Tropical Stormy, isServedAtLocationType, tiki bar]
-
A.
isServedAt
chosen
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
-
B.
isServed
Indicates that one entity provides or delivers a service, product, or assistance to another entity.
-
C.
isServedOn
Indicates that one item (typically food or drink) is presented or provided atop or together with a particular surface, container, or accompaniment.
-
D.
isServedFor
Indicates that something is provided or presented as suitable or intended for a particular purpose, use, or recipient.
-
E.
isInhabitedPlaceServedBy
Indicates that a particular inhabited place is provided with services or coverage by a specified service entity (such as a facility, route, or organization).
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600caf308190ab6d8451ed4e3797 |
completed | April 14, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.