Triple
T17563299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L (New York City Subway service) |
E427744
|
entity |
| Predicate | letter |
P17387
|
FINISHED |
| Object | L |
—
|
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: L | Statement: [L (New York City Subway service), letter, L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L Context triple: [L (New York City Subway service), letter, L]
-
A.
L
The L is a Chicago 'L' rapid transit line that serves the city’s West Side and western suburbs as part of the Chicago Transit Authority system.
-
B.
L
chosen
The L is a New York City Subway line that runs crosstown through Manhattan and into Brooklyn, including service to neighborhoods such as Canarsie.
-
C.
L
L is a Swedish liberal political party known for advocating individual freedom, social responsibility, and pro-European policies.
-
D.
L
L is a light rail service line in San Francisco’s Muni Metro system.
-
E.
L
L is the designation for Transilien Line L, a suburban rail service in the Île-de-France region operated by SNCF from Paris Saint-Lazare to western suburbs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456285c808190953a49e77366d8bd |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.