Triple
T6658014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMT Astoria Line |
E151396
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | 30th Avenue |
E609232
|
NE 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: 30th Avenue | Statement: [BMT Astoria Line, hasStation, 30th Avenue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 30th Avenue Context triple: [BMT Astoria Line, hasStation, 30th Avenue]
-
A.
30th Avenue
chosen
30th Avenue is a New York City Subway station in Astoria, Queens, served by the N and W trains on the BMT Astoria Line.
-
B.
36th Avenue
36th Avenue is a New York City Subway station in Astoria, Queens, served by the N and W trains on the BMT Astoria Line.
-
C.
32nd Avenue
32nd Avenue is a north–south residential street in San Francisco’s Richmond District, intersecting major east–west corridors such as California Street.
-
D.
18th Avenue
18th Avenue is a local New York City Subway station in Brooklyn served by the BMT Sea Beach Line (N train).
-
E.
20th Avenue
20th Avenue is a local New York City Subway station in Brooklyn serving the BMT Sea Beach Line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b06f3da88190b17649f44ee93fd1 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7007347cc8190a15b4218bb3b7074 |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 27, 2026, 2:01 p.m.