Triple
T6479202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R44 subway cars |
E146145
|
entity |
| Predicate | NYCTFinalRetirement |
P25375
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [R44 subway cars, NYCTFinalRetirement, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NYCTFinalRetirement Context triple: [R44 subway cars, NYCTFinalRetirement, 2010]
-
A.
officeEndForMayorOfNewYorkCity
Indicates the date or point in time when a person’s term as Mayor of New York City ends.
-
B.
officeEndTime (Governor of New York)
Indicates the time at which a person’s tenure as Governor of New York officially ends.
-
C.
retiredBy
chosen
Indicates that one entity has formally ended the active status, use, or service of another entity.
-
D.
retiredFrom
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
-
E.
jerseyRetirementDate
Indicates the date on which an athlete’s jersey number is officially retired by a team or organization.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4e764c819086828bb841f588e0 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:51 p.m.