Triple
T5479080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Encapsulating Security Payload |
E123426
|
entity |
| Predicate | trailerField |
P63998
|
FINISHED |
| Object | Padding |
—
|
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: Padding | Statement: [Encapsulating Security Payload, trailerField, Padding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailerField Context triple: [Encapsulating Security Payload, trailerField, Padding]
-
A.
isTrailerable
Indicates that something can be transported or carried using a trailer.
-
B.
trunkCharacteristic
Indicates a relationship where a specific characteristic or property is attributed to a trunk (such as that of a tree or similar object).
-
C.
hasTrunk
Indicates that one entity possesses or is equipped with a trunk as a physical feature or component.
-
D.
transmissionType
Indicates the method or medium through which something is transmitted or conveyed from one entity to another.
-
E.
towingCapability
Indicates the maximum load or object weight that one entity is able to pull or tow.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9247a16c8190ac5a02534da48853 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd9214b8488190979112c7615f359a |
completed | March 20, 2026, 6:29 p.m. |
Created at: March 20, 2026, 2:09 p.m.