Triple

T15056103
Position Surface form Disambiguated ID Type / Status
Subject Rafiki's Planet Watch E379495 entity
Predicate hasPart P35 FINISHED
Object Habitat Habit!
Habitat Habit! is an educational walking trail at Disney's Animal Kingdom that allows guests to observe animals and learn about wildlife conservation.
 E1134970 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: Habitat Habit! | Statement: [Rafiki's Planet Watch, hasPart, Habitat Habit!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Habitat Habit!
Context triple: [Rafiki's Planet Watch, hasPart, Habitat Habit!]
  • A. HAB
    HAB is the HIV/AIDS Bureau, a U.S. federal agency component that oversees programs and funding to improve care and treatment for people living with HIV.
  • B. I-Hab
    I-Hab is a planned European-built habitation module for NASA’s Lunar Gateway space station, designed to provide living and working space for astronauts in lunar orbit.
  • C. Hibbies
    Hibbies is the popular nickname for the supporters of the Scottish football club Hibernian F.C.
  • D. Hirt
    Hirt is a surname most notably associated with American trumpeter and bandleader Al Hirt.
  • E. Habikino
    Habikino is a city in Osaka Prefecture, Japan, known for its historic kofun burial mounds and role within the Osaka metropolitan area.
  • 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: Habitat Habit!
Triple: [Rafiki's Planet Watch, hasPart, Habitat Habit!]
Generated description
Habitat Habit! is an educational walking trail at Disney's Animal Kingdom that allows guests to observe animals and learn about wildlife conservation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Habitat Habit!
Target entity description: Habitat Habit! is an educational walking trail at Disney's Animal Kingdom that allows guests to observe animals and learn about wildlife conservation.
  • A. HAB
    HAB is the HIV/AIDS Bureau, a U.S. federal agency component that oversees programs and funding to improve care and treatment for people living with HIV.
  • B. I-Hab
    I-Hab is a planned European-built habitation module for NASA’s Lunar Gateway space station, designed to provide living and working space for astronauts in lunar orbit.
  • C. Hibbies
    Hibbies is the popular nickname for the supporters of the Scottish football club Hibernian F.C.
  • D. Hirt
    Hirt is a surname most notably associated with American trumpeter and bandleader Al Hirt.
  • E. Habikino
    Habikino is a city in Osaka Prefecture, Japan, known for its historic kofun burial mounds and role within the Osaka metropolitan area.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda937f788190899d81bbb2084443 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c11fb4819086c4b85a8d29ccf7 completed May 9, 2026, 3:10 a.m.
NEDg Description generation batch_69fea70a10b88190aac09e3b690afa6f completed May 9, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_69fea82a80888190bbb0de39a8959a6e completed May 9, 2026, 3:21 a.m.
Created at: April 10, 2026, 3:01 a.m.