Triple
T1036302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco 4th and King Street station |
E22369
|
entity |
| Predicate | servesEventTrafficFor |
P6789
|
FINISHED |
| Object | San Francisco Giants games at Oracle Park |
—
|
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: San Francisco Giants games at Oracle Park | Statement: [San Francisco 4th and King Street station, servesEventTrafficFor, San Francisco Giants games at Oracle Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesEventTrafficFor Context triple: [San Francisco 4th and King Street station, servesEventTrafficFor, San Francisco Giants games at Oracle Park]
-
A.
servesAsGatewayTo
Indicates that one entity functions as an entry point, access route, or intermediary channel that enables reaching or connecting to another entity.
-
B.
servesVenue
chosen
Indicates that an entity provides services or functions in support of a particular venue.
-
C.
servesUnder
Indicates that one entity works in a subordinate role under the authority, command, or supervision of another entity.
-
D.
canServeOn
Indicates that one entity is eligible or permitted to serve on another entity, such as a group, body, or committee.
-
E.
hasTrafficManagement
Indicates that an entity implements, uses, or is associated with systems or measures for controlling and optimizing traffic flow.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.