Triple
T27084978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seattle Pilots |
E686011
|
entity |
| Predicate | stadiumCapacity1969 |
P64680
|
FINISHED |
| Object | approximately 25,000 |
—
|
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: approximately 25,000 | Statement: [Seattle Pilots, stadiumCapacity1969, approximately 25,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stadiumCapacity1969 Context triple: [Seattle Pilots, stadiumCapacity1969, approximately 25,000]
-
A.
stadiumCapacityApprox
Indicates an approximate number of people that a stadium can accommodate.
-
B.
homeStadiumCapacity
Indicates the seating capacity of the stadium that serves as a team's or organization's home venue.
-
C.
stadiumOpeningYear
Indicates the calendar year in which a stadium was officially opened for use.
-
D.
cityStadiumCapacity
Indicates the maximum number of spectators that a given city’s stadium can accommodate.
-
E.
formerStadiumCapacityApprox
chosen
Indicates that an entity’s past stadium capacity is approximately equal to the given number, rather than an exact figure.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62345517c819082ca0c9f67792e67 |
completed | May 2, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:37 a.m.