Triple
T13354519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S (New York City Subway service) |
E318152
|
entity |
| Predicate | designationUsage |
P89999
|
FINISHED |
| Object | used for short-distance shuttle routes |
—
|
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: used for short-distance shuttle routes | Statement: [S (New York City Subway service), designationUsage, used for short-distance shuttle routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designationUsage Context triple: [S (New York City Subway service), designationUsage, used for short-distance shuttle routes]
-
A.
designationUse
chosen
Indicates how a particular designation or title is intended to be used or applied in relation to an entity.
-
B.
designationUsedFor
Indicates that a particular name, label, or title is employed to refer to or identify a specific entity or role.
-
C.
designationFor
Indicates that one entity serves as the official title, label, or role name assigned to another entity.
-
D.
designationType
Indicates the specific category or kind of formal status, title, or label that has been assigned in a designation relationship.
-
E.
designationCategory
Indicates the classification or type of designation assigned to an entity within a broader designation 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99f1ef94c81909a59b7c3f77d3335 |
completed | April 11, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69d98f6fd8bc819086dddb6f376efa57 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:32 p.m.