Triple
T13019612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMainMenu |
E322639
|
entity |
| Predicate | ownsItemsOfType |
P26628
|
FINISHED |
| Object | TMenuItem |
—
|
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: TMenuItem | Statement: [TMainMenu, ownsItemsOfType, TMenuItem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownsItemsOfType Context triple: [TMainMenu, ownsItemsOfType, TMenuItem]
-
A.
ownsAssetType
chosen
Indicates that an entity possesses ownership rights over an asset of a specified type.
-
B.
oftenEquippedWith
Indicates that one type of entity is frequently or typically outfitted, furnished, or supplied with another entity.
-
C.
possessedItem
Indicates that one entity owns, holds, or has control over another entity as a possession.
-
D.
typicallyHolds
Indicates that a certain relationship or condition generally holds true in typical or normal situations, though not necessarily in all cases.
-
E.
usesSupportItem
Indicates that an entity employs or relies on a supporting item, tool, or aid to perform an action or fulfill a function.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:51 p.m.