Triple
T6864752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kani Doraku Dotonbori Honten |
E158368
|
entity |
| Predicate | hasMenu |
P68068
|
FINISHED |
| Object | set crab course menus |
—
|
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: set crab course menus | Statement: [Kani Doraku Dotonbori Honten, hasMenu, set crab course menus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMenu Context triple: [Kani Doraku Dotonbori Honten, hasMenu, set crab course menus]
-
A.
hasMenuItem
Indicates that one entity (typically a menu or menu section) includes or offers another entity as one of its menu items.
-
B.
hasKidsMenu
Indicates that an establishment offers a menu specifically designed for children.
-
C.
hasFoodOption
chosen
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
-
D.
hasMinbar
Indicates that a location or structure contains or is equipped with a minbar (a pulpit used for sermons in a mosque).
-
E.
hasPar
Indicates a relationship where one entity has another entity as its parent.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.