Triple
T34239501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | plans to ship Woody and the Roundup gang to Japan |
E878422
|
entity |
| Predicate | hasTransportMethod |
P199897
|
FINISHED |
| Object | airplane cargo |
—
|
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: airplane cargo | Statement: [plans to ship Woody and the Roundup gang to Japan, hasTransportMethod, airplane cargo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportMethod Context triple: [plans to ship Woody and the Roundup gang to Japan, hasTransportMethod, airplane cargo]
-
A.
hasTransportFunction
Indicates that an entity serves to move or carry something (such as people, goods, or signals) from one place or state to another.
-
B.
hasTransportCode
Indicates that an entity is associated with a specific transport-related code used to identify or classify its mode, method, or details of transportation.
-
C.
hasTransportCategory
Indicates that one entity is classified under a particular category or type of transport associated with another entity.
-
D.
hasTransporters
Indicates that one entity possesses, provides, or is equipped with one or more means of transportation for another entity or purpose.
-
E.
hasTransportationElement
Indicates that one entity includes, involves, or is associated with a specific transportation-related component or feature.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff63225b6481909217ad11b4f7d3ba |
completed | May 9, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ff60e0882c819085d097010db43ee0 |
completed | May 9, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69ff632176b0819084610ae2e57ab679 |
completed | May 9, 2026, 4:38 p.m. |
Created at: May 1, 2026, 1:56 a.m.