Triple
T12373411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piña Colada |
E295058
|
entity |
| Predicate | Chi Chi |
P104839
|
FINISHED |
| Object | variation made with vodka instead of rum |
—
|
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: variation made with vodka instead of rum | Statement: [Piña Colada, Chi Chi, variation made with vodka instead of rum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Chi Chi Context triple: [Piña Colada, Chi Chi, variation made with vodka instead of rum]
-
A.
الأم
Indicates a maternal relationship where one entity is the mother of another entity.
-
B.
Chantecler
Indicates a relationship where an entity is identified as or associated with "Chantecler," typically denoting a specific named role, character, or designation.
-
C.
Xiaoerjing
Indicates a relationship where something is written, represented, or transcribed using the Xiaoerjing (Arabic-based) script for Sinitic languages.
-
D.
خيوط التطريز
Indicates the relationship of being threads specifically used for embroidery work.
-
E.
MacMeans
Indicates that one entity serves as the meaning, definition, or semantic interpretation of another entity.
- F. None of above. chosen
Provenance (4 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d9429ff2bc8190b09adf8f57fad451 |
completed | April 10, 2026, 6:34 p.m. |
Created at: April 8, 2026, 9:54 p.m.