Triple
T36605421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinocchio Village Haus |
E903030
|
entity |
| Predicate | hasKidFriendlyFeatures |
P185609
|
FINISHED |
| Object | children’s menu options |
—
|
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: children’s menu options | Statement: [Pinocchio Village Haus, hasKidFriendlyFeatures, children’s menu options]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKidFriendlyFeatures Context triple: [Pinocchio Village Haus, hasKidFriendlyFeatures, children’s menu options]
-
A.
isFamilyFriendly
Indicates that something is suitable for all ages and does not contain content inappropriate for children or sensitive audiences.
-
B.
hasEducationalFeature
Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
-
C.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
D.
hasHomeFeature
Indicates that a home possesses or includes a particular feature or amenity.
-
E.
hasHouseholdFeature
Indicates that a household possesses or includes a specific feature, attribute, or amenity.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c33f442c81908300da6a1631180a |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1bbf5848190a698fdbec307886a |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c237bd1881908a00ea5ea17e7660 |
completed | May 3, 2026, 9:46 p.m. |
Created at: May 3, 2026, 4:11 p.m.