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.