Triple

T26896746
Position Surface form Disambiguated ID Type / Status
Subject World of Frozen E677916 entity
Predicate containsShop P23299 FINISHED
Object Tick Tock Toys & Collectibles
Tick Tock Toys & Collectibles is a themed retail shop offering Frozen-inspired toys, souvenirs, and collectibles within the World of Frozen area.
E1748304 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: Tick Tock Toys & Collectibles | Statement: [World of Frozen, containsShop, Tick Tock Toys & Collectibles]
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: Tick Tock Toys & Collectibles
Triple: [World of Frozen, containsShop, Tick Tock Toys & Collectibles]
Generated description
Tick Tock Toys & Collectibles is a themed retail shop offering Frozen-inspired toys, souvenirs, and collectibles within the World of Frozen area.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsShop
Context triple: [World of Frozen, containsShop, Tick Tock Toys & Collectibles]
  • A. hasShop chosen
    Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
  • B. hasShopsOn
    Indicates that one entity (typically a street, area, or building) contains or is lined with shops located on or along it.
  • C. hasShopsOfType
    Indicates that an entity contains or is associated with one or more shops belonging to a specified type or category.
  • D. hasShopCount
    Indicates the number of shops associated with a given entity.
  • E. hasShopName
    Indicates that an entity (such as a shop or business) is associated with a specific shop name.
  • 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_69fcda3699948190adb57625bae08091 completed May 7, 2026, 6:30 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_69fcd8fd16d08190b0aca6e19a632e99 completed May 7, 2026, 6:25 p.m.
Created at: April 27, 2026, 5:48 a.m.