Triple

T13101541
Position Surface form Disambiguated ID Type / Status
Subject Mickey & Friends Parking Structure E310729 entity
Predicate hasSection P35 FINISHED
Object Daisy
Daisy is a themed parking section within the Mickey & Friends Parking Structure at the Disneyland Resort, named after the Disney character Daisy Duck.
E1019152 NE FINISHED

How this triple was built (4 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: Daisy | Statement: [Mickey & Friends Parking Structure, hasSection, Daisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daisy
Context triple: [Mickey & Friends Parking Structure, hasSection, Daisy]
  • A. Daisy
    Daisy is a feminine given name commonly associated with the daisy flower and often used in English-speaking countries.
  • B. Daisy
    Daisy is a central character in Margaret Atwood's dystopian novel "The Testaments," whose perspective helps reveal the inner workings and resistance within the totalitarian regime of Gilead.
  • C. Daisy
    Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
  • D. Daisy
    Daisy is a small rural community located within Evans County in the U.S. state of Georgia.
  • E. Daisy
    Daisy is the troubled American teenager who serves as the narrator and central protagonist of Meg Rosoff’s novel "How I Live Now," chronicling her experiences during a fictional World War III in the English countryside.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Daisy
Triple: [Mickey & Friends Parking Structure, hasSection, Daisy]
Generated description
Daisy is a themed parking section within the Mickey & Friends Parking Structure at the Disneyland Resort, named after the Disney character Daisy Duck.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daisy
Target entity description: Daisy is a themed parking section within the Mickey & Friends Parking Structure at the Disneyland Resort, named after the Disney character Daisy Duck.
  • A. Daisy
    Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
  • B. Daisy
    Daisy is a feminine given name commonly associated with the daisy flower and often used in English-speaking countries.
  • C. Daisy
    Daisy is a central female character in the 2003 independent film "The Brown Bunny," serving as the emotional focus of the protagonist's memories and guilt.
  • D. Daisy
    Daisy is a central character in Margaret Atwood's dystopian novel "The Testaments," whose perspective helps reveal the inner workings and resistance within the totalitarian regime of Gilead.
  • E. Daisy
    Daisy is a small rural community located within Evans County in the U.S. state of Georgia.
  • F. None of above. chosen

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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981515d488190908d3cca1b84a42d completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61d88888190bfc631b759f14598 completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6d7123cc48190985360c3ab76a6d0 completed May 3, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69f6d7bc235481909799b57e44f0aef2 completed May 3, 2026, 5:06 a.m.
Created at: April 9, 2026, 9:04 p.m.