Triple
T2132253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embraer ERJ 135 |
E46566
|
entity |
| Predicate | maximumOperatingMachNumber |
P2096
|
FINISHED |
| Object | M 0.78 |
—
|
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: M 0.78 | Statement: [Embraer ERJ 135, maximumOperatingMachNumber, M 0.78]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumOperatingMachNumber Context triple: [Embraer ERJ 135, maximumOperatingMachNumber, M 0.78]
-
A.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
B.
maximumService
Indicates that an entity provides the highest allowable or achievable level of service within a given context or system.
-
C.
maximumPowerDuringOperation
Indicates the highest level of power that occurs while the system or component is operating.
-
D.
maximumVolumeSize
Indicates the largest allowable size or capacity that a volume can have within a given system or context.
-
E.
maxSpeed
chosen
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7b13ac819094d43159fff984cf |
completed | March 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69abb7bf56e481909b0f497d238451cc |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.