Triple
T142883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Washington Bridge |
E2889
|
entity |
| Predicate | upperDeckLanes |
P6816
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [George Washington Bridge, upperDeckLanes, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperDeckLanes Context triple: [George Washington Bridge, upperDeckLanes, 8]
-
A.
ledLeagueIn
Indicates that an entity achieved the highest performance or total in a specified statistical category within a particular league for a given season or time period.
-
B.
sportsFacility
Indicates that one entity is a sports facility where sports or physical activities can take place for the other entity.
-
C.
GLeagueAffiliate
Indicates that one basketball team serves as the NBA G League affiliate (developmental partner) of another team.
-
D.
ballType
Indicates the specific category or kind of ball associated with an entity.
-
E.
openingGameCity
Indicates the city where an opening game or initial match of an event takes place.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2580ca15481909fa3e87d804a1b23 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a2565559ac81909e0c4e095a7dfa27 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2580b00988190868ee24c0289cf70 |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.