Triple
T12284770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Island Iced Tea |
E292800
|
entity |
| Predicate | consumedOnOccasion |
P97073
|
FINISHED |
| Object | parties |
—
|
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: parties | Statement: [Long Island Iced Tea, consumedOnOccasion, parties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consumedOnOccasion Context triple: [Long Island Iced Tea, consumedOnOccasion, parties]
-
A.
eatenOnOccasion
Indicates that one entity is consumed or eaten by another only at certain times or under specific circumstances, rather than regularly or habitually.
-
B.
createdOnOccasionOf
Indicates that something was created specifically for, or in direct connection with, a particular event, occasion, or circumstance.
-
C.
onOccasionOf
Indicates that one event, action, or state occurs in connection with, or is triggered by, a particular occasion or special event.
-
D.
eatenAs
Indicates that one entity is consumed or used as food by another entity.
-
E.
typicalSettingConsumed
chosen
Indicates the usual context or environment in which something is normally consumed.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.