Triple

T31754052
Position Surface form Disambiguated ID Type / Status
Subject Finding Nemo theme park attractions E810508 entity
Predicate hasAttraction P105 FINISHED
Object Nemo’s Playground
Nemo’s Playground is a themed play area inspired by Disney-Pixar’s "Finding Nemo," featuring interactive aquatic-themed activities and structures for children.
E45271 NE 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: Nemo’s Playground | Statement: [Finding Nemo theme park attractions, hasAttraction, Nemo’s Playground]
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: Nemo’s Playground
Triple: [Finding Nemo theme park attractions, hasAttraction, Nemo’s Playground]
Generated description
Nemo’s Playground is a themed play area inspired by Disney-Pixar’s "Finding Nemo," featuring interactive aquatic-themed activities and structures for children.

Provenance (5 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_69f348e340d48190b780fae618c51464 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab7a9a408190a227d66d8c1a55f3 completed May 3, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b9488f3148190aa26a1a056591a98 completed June 12, 2026, 5:09 a.m.
NEDg Description generation batch_6a2b952e894c8190bdf7b9908acbcb18 completed June 12, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a2b9599e34c81908b96cf67fd3a9760 completed June 12, 2026, 5:14 a.m.
Created at: April 30, 2026, 11:29 p.m.