Triple
T4527884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toledo – Tapas, Steak & Seafood |
E106223
|
entity |
| Predicate | hasChildrenMenu |
P24380
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Toledo – Tapas, Steak & Seafood, hasChildrenMenu, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildrenMenu Context triple: [Toledo – Tapas, Steak & Seafood, hasChildrenMenu, true]
-
A.
hasChildrenSection
Indicates that an entity includes or is associated with a dedicated section that contains information about its children.
-
B.
hasKidsMenu
chosen
Indicates that an establishment offers a menu specifically designed for children.
-
C.
hasChildrenArea
Indicates that an entity includes or is associated with a designated area intended for children.
-
D.
hasChildrenWith
Indicates that two entities share one or more biological or adopted children together.
-
E.
hasMenuItem
Indicates that one entity (typically a menu or menu section) includes or offers another entity as one of its menu items.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd577737848190ad509c8bb8e57ec0 |
completed | March 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.