Triple
T23184504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aceto Balsamico Tradizionale di Modena |
E579550
|
entity |
| Predicate | bottleCapacity |
P111670
|
FINISHED |
| Object | 100 milliliters |
—
|
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: 100 milliliters | Statement: [Aceto Balsamico Tradizionale di Modena, bottleCapacity, 100 milliliters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottleCapacity Context triple: [Aceto Balsamico Tradizionale di Modena, bottleCapacity, 100 milliliters]
-
A.
bottleSize
chosen
Indicates the capacity or volume classification associated with a particular bottle.
-
B.
typicalBottleCount
Indicates the usual or standard number of bottles associated with something under normal conditions.
-
C.
bottleFeature
Indicates that a bottle possesses or is characterized by a particular feature or attribute.
-
D.
unitCapacity
Indicates the maximum quantity or load that a single unit is designed or allowed to hold, process, or accommodate.
-
E.
bottlingType
Indicates the specific method or style in which a liquid product is bottled or packaged.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f717d248190b2736b0789981fb2 |
completed | April 29, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:05 p.m.