Triple
T678394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6 train |
E13127
|
entity |
| Predicate | serviceRole |
P5621
|
FINISHED |
| Object | local service on Lexington Avenue Line |
—
|
LITERAL 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: local service on Lexington Avenue Line | Statement: [6 train, serviceRole, local service on Lexington Avenue Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceRole Context triple: [6 train, serviceRole, local service on Lexington Avenue Line]
-
A.
systemRole
Indicates the functional position or responsibility that an entity holds within a larger system or structure.
-
B.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
C.
service
Indicates that one entity performs work, assistance, or functions to meet the needs or requests of another entity.
-
D.
serviceComponent
Indicates that one entity functions as a component or sub-part within the structure or implementation of a larger service.
-
E.
serviceClass
chosen
Indicates the classification or category of service associated with or provided by an entity in the relationship.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04e17088190943d54977eb3f83a |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1d79608190a849ba9ffad2879d |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.