Triple

T12844571
Position Surface form Disambiguated ID Type / Status
Subject Yas Waterworld E307139 entity
Predicate hasRide P30385 FINISHED
Object Liwa Loop
Liwa Loop is a high-thrill looping water slide attraction located at Yas Waterworld in Abu Dhabi.
E1006089 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: Liwa Loop | Statement: [Yas Waterworld, hasRide, Liwa Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liwa Loop
Context triple: [Yas Waterworld, hasRide, Liwa Loop]
  • A. Langerringen
    Langerringen is a municipality in the Swabian region of Bavaria in southern Germany.
  • B. Pemi Loop
    Pemi Loop is a challenging and popular long-distance hiking circuit in New Hampshire’s White Mountains that links multiple 4,000-foot peaks in a single loop.
  • C. Bell Rock Loop
    Bell Rock Loop is a popular hiking trail in Sedona, Arizona, known for its scenic red rock views and relatively easy, family-friendly terrain.
  • D. Truk Lagoon
    Truk Lagoon is a large coral atoll in Micronesia famed as a major Japanese naval base in World War II and now a renowned underwater graveyard and diving site filled with sunken warships and aircraft.
  • E. Tehachapi Loop
    Tehachapi Loop is a famous spiral railway line in California where trains loop over themselves to efficiently gain elevation through the Tehachapi Mountains.
  • 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: Liwa Loop
Triple: [Yas Waterworld, hasRide, Liwa Loop]
Generated description
Liwa Loop is a high-thrill looping water slide attraction located at Yas Waterworld in Abu Dhabi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liwa Loop
Target entity description: Liwa Loop is a high-thrill looping water slide attraction located at Yas Waterworld in Abu Dhabi.
  • A. Langerringen
    Langerringen is a municipality in the Swabian region of Bavaria in southern Germany.
  • B. Pemi Loop
    Pemi Loop is a challenging and popular long-distance hiking circuit in New Hampshire’s White Mountains that links multiple 4,000-foot peaks in a single loop.
  • C. Bell Rock Loop
    Bell Rock Loop is a popular hiking trail in Sedona, Arizona, known for its scenic red rock views and relatively easy, family-friendly terrain.
  • D. Truk Lagoon
    Truk Lagoon is a large coral atoll in Micronesia famed as a major Japanese naval base in World War II and now a renowned underwater graveyard and diving site filled with sunken warships and aircraft.
  • E. Tehachapi Loop
    Tehachapi Loop is a famous spiral railway line in California where trains loop over themselves to efficiently gain elevation through the Tehachapi Mountains.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff3a7208190b93f6292ed5efc07 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9fa40c8190bbc2c6ad22795de4 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69ca6358c8190bb076249864f81a8 completed May 3, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69f69dc8b86c81908557fa8538e942de completed May 3, 2026, 12:58 a.m.
Created at: April 9, 2026, 5:36 p.m.