Triple
T11767777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 14th Street–8th Avenue subway station |
E279820
|
entity |
| Predicate | servedByService |
P1294
|
FINISHED |
| Object | E |
E5353
|
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: E | Statement: [14th Street–8th Avenue subway station, servedByService, E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E Context triple: [14th Street–8th Avenue subway station, servedByService, E]
-
A.
E
chosen
The E is a New York City Subway line that runs between Queens and Manhattan, providing a key rapid transit connection used by AirTrain JFK passengers traveling to and from the city.
-
B.
E
E is the letter designation for the E branch of Boston’s MBTA Green Line light rail service.
-
C.
E
E is the stage name of Mark Oliver Everett, the singer-songwriter and multi-instrumentalist best known as the frontman of the indie rock band Eels.
-
D.
E
E is a rapid transit line of the Buenos Aires Underground system in Argentina.
-
E.
E.
E. King Gill was an American football player best known as the original "12th Man" of Texas A&M University, symbolizing the school's enduring tradition of fan support.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a526979c8190ad2089997906855b |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09063bdcc819089211d6246041416 |
completed | April 28, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:41 p.m.