Triple
T12844581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yas Waterworld |
E307139
|
entity |
| Predicate | hasRide |
P30385
|
FINISHED |
| Object |
Sebag
Sebag is a water ride attraction at the Yas Waterworld theme park in Abu Dhabi, United Arab Emirates.
|
E1006096
|
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: Sebag | Statement: [Yas Waterworld, hasRide, Sebag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebag Context triple: [Yas Waterworld, hasRide, Sebag]
-
A.
Bage
Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
-
B.
Bago
Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
-
C.
Bago
Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
-
D.
Beger
Beger is a German surname most notably associated with Bruno Beger, an anthropologist involved with Nazi-era racial studies.
-
E.
Sejnane
Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
- 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: Sebag Triple: [Yas Waterworld, hasRide, Sebag]
Generated description
Sebag is a water ride attraction at the Yas Waterworld theme park in Abu Dhabi, United Arab Emirates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sebag Target entity description: Sebag is a water ride attraction at the Yas Waterworld theme park in Abu Dhabi, United Arab Emirates.
-
A.
Bage
Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
-
B.
Bago
Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
-
C.
Bago
Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
-
D.
Beger
Beger is a German surname most notably associated with Bruno Beger, an anthropologist involved with Nazi-era racial studies.
-
E.
Sejnane
Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
- 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.