Triple
T28553253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rakı |
E722942
|
entity |
| Predicate | servingAppearanceWithWater |
P179799
|
FINISHED |
| Object | milky white |
—
|
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: milky white | Statement: [rakı, servingAppearanceWithWater, milky white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servingAppearanceWithWater Context triple: [rakı, servingAppearanceWithWater, milky white]
-
A.
servedDrink
Indicates that one entity provided or presented a drink to another entity.
-
B.
servedDrinkTo
Indicates that one entity provided or handed a drink to another entity.
-
C.
servedWithIce
Indicates that one item is provided or presented accompanied by ice.
-
D.
servesWith
Indicates that one entity is customarily presented, used, or consumed together with another as a complementary accompaniment.
-
E.
appearsToPour
Indicates that one entity is visually perceived as pouring a substance or object into or onto another entity, regardless of whether the pouring actually occurs.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 28, 2026, 3:44 a.m.