Triple
T10183381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R68 |
E236842
|
entity |
| Predicate | fleetNumberRange |
P44071
|
FINISHED |
| Object | 2500–2924 |
—
|
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: 2500–2924 | Statement: [R68, fleetNumberRange, 2500–2924]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetNumberRange Context triple: [R68, fleetNumberRange, 2500–2924]
-
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.
RVNumberRange
Indicates that a recreational vehicle’s number or identifier falls within a specified numeric range.
-
C.
hullNumberRange
Indicates a relationship where an entity’s hull number falls within a specified numeric range.
-
D.
planeNumber
Indicates that an entity is associated with a specific airplane identification number (such as a tail number or flight number).
-
E.
airlineFleetDesignation
Indicates the specific fleet or operational group within an airline to which an aircraft or service is assigned.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded3408b88190a7d981a6dcea48d9 |
completed | April 2, 2026, 4:14 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:12 p.m.