Triple
T8714468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oktoberfestbier |
E206859
|
entity |
| Predicate | servingSizeAtOktoberfest |
P84040
|
FINISHED |
| Object | 1 liter Maß |
—
|
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: 1 liter Maß | Statement: [Oktoberfestbier, servingSizeAtOktoberfest, 1 liter Maß]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servingSizeAtOktoberfest Context triple: [Oktoberfestbier, servingSizeAtOktoberfest, 1 liter Maß]
-
A.
carbohydratesPer12Ounces
Indicates the amount of carbohydrates contained in a 12-ounce serving of a given item.
-
B.
numberOfBarrels
Indicates the quantity or count of barrels associated with a given entity or context.
-
C.
servesSide
Indicates that one entity is provided or presented as an accompanying side item to another primary entity.
-
D.
capacityMLBOpening
Indicates the seating capacity of a venue specifically for Major League Baseball (MLB) Opening Day games.
-
E.
isMassMarketBeer
Indicates that a beer is produced and distributed on a large commercial scale for broad, mainstream consumer markets.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c40c54819093d174a4203f9515 |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:35 p.m.