Triple
T34727361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Gai |
E1001106
|
entity |
| Predicate | typicalBarCapacity |
P1931
|
FINISHED |
| Object | about 5 to 10 seats |
—
|
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: about 5 to 10 seats | Statement: [Golden Gai, typicalBarCapacity, about 5 to 10 seats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBarCapacity Context triple: [Golden Gai, typicalBarCapacity, about 5 to 10 seats]
-
A.
typicalCapacity
chosen
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
B.
breweryCapacity
Indicates the production volume or output capacity that a brewery is able to produce within a given time period.
-
C.
typicalBottleCount
Indicates the usual or standard number of bottles associated with something under normal conditions.
-
D.
numberOfBarrels
Indicates the quantity or count of barrels associated with a given entity or context.
-
E.
capacityMLBOpening
Indicates the seating capacity of a venue specifically for Major League Baseball (MLB) Opening Day games.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.