Triple
T7971069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Individual Lightning Lane purchases |
E185322
|
entity |
| Predicate | languageUsedInMarketing |
P64853
|
FINISHED |
| Object | à la carte |
—
|
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: à la carte | Statement: [Individual Lightning Lane purchases, languageUsedInMarketing, à la carte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageUsedInMarketing Context triple: [Individual Lightning Lane purchases, languageUsedInMarketing, à la carte]
-
A.
languageUsedAs
Indicates that one language is employed in a specific role, function, or context relative to another entity or situation.
-
B.
languagesUsed
Indicates that one entity uses, employs, or is expressed in one or more languages associated with the other entity.
-
C.
primaryLanguageMarket
chosen
Indicates that a particular language is the main or dominant language used within a given market or market segment.
-
D.
languageUsedInTrade
Indicates that a particular language is employed as a medium of communication in trade or commercial transactions between parties.
-
E.
languageSpecifies
Indicates that one entity defines or constrains the syntax, semantics, or usage rules that govern how another language or linguistic system is expressed or interpreted.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd476108190988a75653a5c56d6 |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:13 p.m.