Triple
T26896744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World of Frozen |
E677916
|
entity |
| Predicate | containsRestaurant |
P4442
|
FINISHED |
| Object |
Golden Crocus Inn
Golden Crocus Inn is a themed dining location in the World of Frozen area, offering guests an immersive restaurant experience inspired by the Frozen franchise.
|
E1748302
|
NE FINISHED |
How this triple was built (3 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: Golden Crocus Inn | Statement: [World of Frozen, containsRestaurant, Golden Crocus Inn]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Golden Crocus Inn Triple: [World of Frozen, containsRestaurant, Golden Crocus Inn]
Generated description
Golden Crocus Inn is a themed dining location in the World of Frozen area, offering guests an immersive restaurant experience inspired by the Frozen franchise.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsRestaurant Context triple: [World of Frozen, containsRestaurant, Golden Crocus Inn]
-
A.
hasRestaurant
chosen
Indicates that one entity possesses, operates, or contains a restaurant associated with it.
-
B.
hasRestaurantType
Indicates that an entity is associated with or classified as a particular type or category of restaurant.
-
C.
restaurantContained
Indicates that a restaurant is physically located within or is a part of a larger place or establishment.
-
D.
isDiningDestination
Indicates that a place serves as a destination where people go specifically to eat meals or dine.
-
E.
restaurantName
Indicates the name assigned to a restaurant as its identifying label.
- F. None of above.
Provenance (6 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a121ea6462081908cf56bc8cfa77c1e |
completed | May 23, 2026, 9:39 p.m. |
| NEDg | Description generation | batch_6a12201aff34819093554f4c49348255 |
completed | May 23, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a122097db648190894ce494a837c538 |
completed | May 23, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 27, 2026, 5:48 a.m.