Triple
T22466911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taman Ujung |
E555379
|
entity |
| Predicate | locatedInSettlement |
P21214
|
FINISHED |
| Object |
Seraya
Seraya is a coastal village in eastern Bali, Indonesia, known for its proximity to the historic Taman Ujung water palace.
|
E1539635
|
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: Seraya | Statement: [Taman Ujung, locatedInSettlement, Seraya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seraya Context triple: [Taman Ujung, locatedInSettlement, Seraya]
-
A.
Saraya
Saraya is a professional wrestler best known for her groundbreaking WWE career under the name Paige and later work in All Elite Wrestling.
-
B.
Arwa
Arwa is a bottled water brand owned by The Coca-Cola Company and sold in several Middle Eastern and North African markets.
-
C.
Shara
Shara is an ancient Mesopotamian deity, primarily known as the warrior god and tutelary divine figure associated with the city-state of Umma in Sumer.
-
D.
Sareyn
Sareyn is a small Iranian town renowned for its natural hot springs and status as a popular health and tourism destination.
-
E.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
- 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: Seraya Triple: [Taman Ujung, locatedInSettlement, Seraya]
Generated description
Seraya is a coastal village in eastern Bali, Indonesia, known for its proximity to the historic Taman Ujung water palace.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seraya Target entity description: Seraya is a coastal village in eastern Bali, Indonesia, known for its proximity to the historic Taman Ujung water palace.
-
A.
Saraya
Saraya is a professional wrestler best known for her groundbreaking WWE career under the name Paige and later work in All Elite Wrestling.
-
B.
Arwa
Arwa is a bottled water brand owned by The Coca-Cola Company and sold in several Middle Eastern and North African markets.
-
C.
Shara
Shara is an ancient Mesopotamian deity, primarily known as the warrior god and tutelary divine figure associated with the city-state of Umma in Sumer.
-
D.
Sareyn
Sareyn is a small Iranian town renowned for its natural hot springs and status as a popular health and tourism destination.
-
E.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b84e4a88190b6fbfdbd754ba1c5 |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1254b6f08190923842daebe93b99 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b14a059e4819095a3d467c469e783 |
completed | May 18, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b15696e588190a2c76b0a4af285a4 |
completed | May 18, 2026, 1:34 p.m. |
Created at: April 16, 2026, 8:48 p.m.