Triple
T19799942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diyaluma Falls |
E475644
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Diyaluma Ella
Diyaluma Ella is a prominent and scenic waterfall in Sri Lanka, renowned as one of the country’s tallest and a popular spot for hiking and natural pools.
|
E1395483
|
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: Diyaluma Ella | Statement: [Diyaluma Falls, alsoKnownAs, Diyaluma Ella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diyaluma Ella Context triple: [Diyaluma Falls, alsoKnownAs, Diyaluma Ella]
-
A.
Nelum Kuluna
Nelum Kuluna is the popular Sinhala name for the Lotus Tower, a prominent telecommunications and observation tower in Colombo, Sri Lanka.
-
B.
Alamelu
Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
-
C.
Elissar
Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
-
D.
Amelya
Amelya is a given name that serves as an alternative spelling of the more common name Amelia.
-
E.
Dalilah
Dalilah is the first name of Dalilah Muhammad, an American hurdler and Olympic gold medalist specializing in the 400-meter hurdles.
- 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: Diyaluma Ella Triple: [Diyaluma Falls, alsoKnownAs, Diyaluma Ella]
Generated description
Diyaluma Ella is a prominent and scenic waterfall in Sri Lanka, renowned as one of the country’s tallest and a popular spot for hiking and natural pools.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diyaluma Ella Target entity description: Diyaluma Ella is a prominent and scenic waterfall in Sri Lanka, renowned as one of the country’s tallest and a popular spot for hiking and natural pools.
-
A.
Dunhinda Ella
Dunhinda Ella is a famous and picturesque waterfall near Badulla in Sri Lanka, renowned for its smoky spray and lush surrounding scenery.
-
B.
Nelum Kuluna
Nelum Kuluna is the popular Sinhala name for the Lotus Tower, a prominent telecommunications and observation tower in Colombo, Sri Lanka.
-
C.
Alamelu
Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
-
D.
Elissar
Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
-
E.
Amelya
Amelya is a given name that serves as an alternative spelling of the more common name Amelia.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cb865c81909696d2b37476f62f |
completed | April 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c50696588190a54cc249f2218b26 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c6509f4c8190aee658954c6cf920 |
completed | May 16, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c7549de08190916e3e48125beebb |
completed | May 16, 2026, 1:24 a.m. |
Created at: April 10, 2026, 1:49 p.m.