Triple
T15805822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Subway M line |
E383212
|
entity |
| Predicate | brooklynStationsInclude |
P17668
|
FINISHED |
| Object | Myrtle Avenue |
—
|
NE NERFINISHED |
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: Myrtle Avenue | Statement: [New York City Subway M line, brooklynStationsInclude, Myrtle Avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brooklynStationsInclude Context triple: [New York City Subway M line, brooklynStationsInclude, Myrtle Avenue]
-
A.
notableBrooklynStations
chosen
Indicates that there exists a notable or significant train or transit station located in Brooklyn.
-
B.
brooklynTerminus
Indicates a relationship where a route, line, or service has its ending point or final stop located in Brooklyn.
-
C.
stationBorough
Indicates the borough or administrative district in which a station is located.
-
D.
notableManhattanStations
Indicates that there exists a notable or significant train or transit station located in Manhattan.
-
E.
brooklynBranch
Indicates that an entity is specifically associated with, located at, or part of the Brooklyn branch of a larger organization or system.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52682548190998d8b6a08982877 |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.