Triple
T22714733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WMATA 1000-series railcar |
E561696
|
entity |
| Predicate | fleetDisposition |
P149417
|
FINISHED |
| Object | progressively retired from revenue service |
—
|
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: progressively retired from revenue service | Statement: [WMATA 1000-series railcar, fleetDisposition, progressively retired from revenue service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetDisposition Context triple: [WMATA 1000-series railcar, fleetDisposition, progressively retired from revenue service]
-
A.
fleetPosition
Indicates the spatial location or coordinates of a fleet relative to a defined reference frame or area.
-
B.
fleetBase
Indicates that one entity serves as the primary homeport, headquarters, or main operating base for a fleet associated with the other entity.
-
C.
fleetConfiguration
Indicates how multiple vehicles or vessels are organized, arranged, or structured together as a coordinated fleet.
-
D.
fleetSize
Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an entity.
-
E.
MBTAFleetStatus
Indicates the operational status or condition of a vehicle or group of vehicles within the MBTA transit fleet at a given time.
- F. None of above. chosen
Provenance (4 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790bdac88190976c83c9039c9d16 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:18 p.m.