Triple
T4730580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uva Province |
E104995
|
entity |
| Predicate | touristAttraction |
P530
|
FINISHED |
| Object |
Ella
Ella is a scenic hill town in Sri Lanka’s Uva Province, known for its lush tea plantations, mountain views, and popular hiking trails such as Little Adam’s Peak and Ella Rock.
|
E464576
|
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: Ella | Statement: [Uva Province, touristAttraction, Ella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ella Context triple: [Uva Province, touristAttraction, Ella]
-
A.
Ella
Ella is a feminine given name most famously associated with legendary American jazz singer Ella Fitzgerald.
-
B.
Ella Henderson
Ella Henderson is an English singer and songwriter who rose to fame as a contestant on The X Factor UK and is known for hits like "Ghost."
-
C.
Ela
Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
-
D.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
-
E.
Ella Garth
Ella Garth is the central protagonist of the film "Wild River," around whom the story’s emotional and dramatic conflicts revolve.
- 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: Ella Triple: [Uva Province, touristAttraction, Ella]
Generated description
Ella is a scenic hill town in Sri Lanka’s Uva Province, known for its lush tea plantations, mountain views, and popular hiking trails such as Little Adam’s Peak and Ella Rock.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ella Target entity description: Ella is a scenic hill town in Sri Lanka’s Uva Province, known for its lush tea plantations, mountain views, and popular hiking trails such as Little Adam’s Peak and Ella Rock.
-
A.
Ella
Ella is a feminine given name most famously associated with legendary American jazz singer Ella Fitzgerald.
-
B.
Ella Henderson
Ella Henderson is an English singer and songwriter who rose to fame as a contestant on The X Factor UK and is known for hits like "Ghost."
-
C.
Ela
Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
-
D.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
-
E.
Ella Garth
Ella Garth is the central protagonist of the film "Wild River," around whom the story’s emotional and dramatic conflicts revolve.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64629bc081908754aa8a2630091f |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10a9386c81908557fe4feb190e8a |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be150ee8c8819083bd769ae8522418 |
completed | March 21, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be158121d08190a50c8d405264839b |
completed | March 21, 2026, 3:50 a.m. |
Created at: March 20, 2026, 1:19 p.m.