Triple
T34669231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GT Life |
E890332
|
entity |
| Predicate | menuLocation |
P107482
|
FINISHED |
| Object | main menu of Gran Turismo 5 |
—
|
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: main menu of Gran Turismo 5 | Statement: [GT Life, menuLocation, main menu of Gran Turismo 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: menuLocation Context triple: [GT Life, menuLocation, main menu of Gran Turismo 5]
-
A.
menuPath
Indicates the hierarchical navigation route or sequence of menu items used to access a particular option or function within a menu system.
-
B.
menuType
chosen
Indicates the classification or category of a menu (e.g., main menu, context menu, settings menu) associated with an interface or system.
-
C.
menuItemType
Indicates the relationship between a menu item and the type or category it belongs to (e.g., appetizer, main course, dessert).
-
D.
mainLocation
Indicates that one entity serves as the primary or central location associated with another entity.
-
E.
menuAdaptation
Indicates that one menu is modified, customized, or adjusted in response to another menu or to specific conditions or preferences.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722fa31248190a1c9081ce8cfa37b |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.