Triple
T36221869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R211 series |
E1047867
|
entity |
| Predicate | belongsToFleetProgram |
P16656
|
FINISHED |
| Object | MTA New Technology Train program |
—
|
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: MTA New Technology Train program | Statement: [R211 series, belongsToFleetProgram, MTA New Technology Train program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToFleetProgram Context triple: [R211 series, belongsToFleetProgram, MTA New Technology Train program]
-
A.
belongsToFleet
Indicates that an entity is a member of, or is assigned to, a specific fleet or group of vehicles/vessels.
-
B.
belongsToProgram
chosen
Indicates that an entity is a member of, or is associated with, a specific program.
-
C.
associatedWithUpgradePrograms
Indicates a relationship where an entity is linked to, participates in, or is covered by one or more upgrade programs.
-
D.
authorizedUnderProgram
Indicates that an entity’s action, status, or participation is permitted or governed according to the rules or provisions of a specific program.
-
E.
usesFleetOf
Indicates that one entity operates or relies on a group of vehicles, vessels, or similar assets collectively as a fleet to perform its activities or services.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffcf46fd688190907fd1ceb499a8d1 |
completed | May 10, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69ffccde2a8c81908e055e74077dbd19 |
completed | May 10, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:09 p.m.