Triple
T7687945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Star Cafe |
E174168
|
entity |
| Predicate | customerExperience |
P2854
|
FINISHED |
| Object | sports-themed dining |
—
|
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: sports-themed dining | Statement: [All Star Cafe, customerExperience, sports-themed dining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customerExperience Context triple: [All Star Cafe, customerExperience, sports-themed dining]
-
A.
customerFocus
Indicates that one entity prioritizes understanding and meeting the needs, preferences, or satisfaction of another entity (typically a customer or client).
-
B.
customerValue
Indicates the degree of benefit, importance, or worth that a customer represents to a business or organization.
-
C.
experienceFeature
Indicates that an entity undergoes, encounters, or makes use of a particular feature.
-
D.
experiences
chosen
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
E.
secondaryCustomer
Indicates a relationship where one customer is designated as an additional or subordinate customer associated with a primary customer in a given context.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.