Triple
T37950006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GE P40DC |
E946715
|
entity |
| Predicate | operatorFleetName |
P51381
|
FINISHED |
| Object | Genesis |
E406810
|
NE 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: Genesis | Statement: [GE P40DC, operatorFleetName, Genesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorFleetName Context triple: [GE P40DC, operatorFleetName, Genesis]
-
A.
usesFleetOf
Indicates that one entity operates or relies on a group of vehicles, vessels, or similar assets collectively as a fleet to perform its activities or services.
-
B.
fleetName
chosen
Indicates the name assigned to a particular fleet within a system or context.
-
C.
ownedFleet
Indicates that one entity possesses or controls a group of vehicles, vessels, or similar assets as its fleet.
-
D.
belongsToFleet
Indicates that an entity is a member of, or is assigned to, a specific fleet or group of vehicles/vessels.
-
E.
targetFleetType
Indicates the specific category or classification of fleet that is the intended focus or recipient of an action or relationship.
- F. None of above.
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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a032d9200448190a2adcc5ee48bff01 |
completed | May 12, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a412ca67fb48190982ca00886d3277f |
completed | June 28, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_6a032c9f41f08190b1c60b0afbbac01a |
completed | May 12, 2026, 1:35 p.m. |
Created at: May 3, 2026, 4:20 p.m.