Triple
T34275144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-73 |
E879430
|
entity |
| Predicate | typicalCarriage |
P148190
|
FINISHED |
| Object | wing pylons |
—
|
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: wing pylons | Statement: [R-73, typicalCarriage, wing pylons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCarriage Context triple: [R-73, typicalCarriage, wing pylons]
-
A.
carriageType
Indicates the specific kind or category of carriage associated with or used in relation to an entity.
-
B.
commonlyTransportedIn
Indicates that something is usually carried, moved, or conveyed using a particular vehicle, container, or mode of transport.
-
C.
carriageWeight
Indicates the weight or mass associated with a carriage in the described context.
-
D.
typicalTractionType
Indicates the usual or most common type of traction mechanism associated with an entity (such as how it is typically powered or driven).
-
E.
typicalCarryMethod
chosen
Indicates the usual or most common way in which an entity is carried or transported.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:56 a.m.