Triple
T6479181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R44 subway cars |
E146145
|
entity |
| Predicate | fleetNumbersSIR |
P44071
|
FINISHED |
| Object | 388–399 |
—
|
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: 388–399 | Statement: [R44 subway cars, fleetNumbersSIR, 388–399]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetNumbersSIR Context triple: [R44 subway cars, fleetNumbersSIR, 388–399]
-
A.
fleetNumbers
chosen
Indicates that there is an association between an entity and one or more identifying numbers assigned to it as part of a fleet.
-
B.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
-
C.
fleetName
Indicates the name assigned to a particular fleet within a system or context.
-
D.
fleetSize
Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an entity.
-
E.
squadronFlagshipOf
Indicates that one entity serves as the primary or lead flagship vessel of a particular squadron.
- 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.