Triple
T5610657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beach 90th Street |
E147346
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | A train |
E49361
|
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: A train | Statement: [Beach 90th Street, servedBy, A train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A train Context triple: [Beach 90th Street, servedBy, A train]
-
A.
A train
chosen
The A train is a New York City Subway service that runs along the Eighth Avenue Line, connecting northern Manhattan and Queens with Brooklyn.
-
B.
Train
Train is an American pop rock band best known for hits like "Drops of Jupiter (Tell Me)" and "Hey, Soul Sister."
-
C.
1 train
The 1 train is a New York City Subway service that runs along the Broadway–Seventh Avenue Line, providing local service between the Bronx and lower Manhattan.
-
D.
Freight Train
Freight Train is a country music album by American singer-songwriter Alan Jackson, known for its traditional sound and storytelling style.
-
E.
Steam Train
Steam Train is a YouTube gaming series and spin-off of Game Grumps in which Ross O’Donovan and co-hosts play and comment on video games.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0211dfc88819097b6d4254a61f65a |
completed | March 22, 2026, 5:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d4876208190b8f5b5ab2ba762d8 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:39 p.m.