Triple
T12981957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matara District |
E321672
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Dikwella
Dikwella is a coastal town in southern Sri Lanka known for its beaches and the towering Wewurukannala Vihara Buddha statue.
|
E1013906
|
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: Dikwella | Statement: [Matara District, hasTown, Dikwella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dikwella Context triple: [Matara District, hasTown, Dikwella]
-
A.
Dikwa
Dikwa is a historic town in northeastern Nigeria that once served as a key political and administrative center of the Borno Empire.
-
B.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
C.
Maleka
Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
-
D.
Titwala
Titwala is a suburban town in the Thane district of Maharashtra, India, known for its Siddhivinayak Mahaganapati Temple and connectivity to Mumbai via the suburban railway network.
-
E.
Datooga
Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
- 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: Dikwella Triple: [Matara District, hasTown, Dikwella]
Generated description
Dikwella is a coastal town in southern Sri Lanka known for its beaches and the towering Wewurukannala Vihara Buddha statue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dikwella Target entity description: Dikwella is a coastal town in southern Sri Lanka known for its beaches and the towering Wewurukannala Vihara Buddha statue.
-
A.
Dikwa
Dikwa is a historic town in northeastern Nigeria that once served as a key political and administrative center of the Borno Empire.
-
B.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
C.
Maleka
Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
-
D.
Titwala
Titwala is a suburban town in the Thane district of Maharashtra, India, known for its Siddhivinayak Mahaganapati Temple and connectivity to Mumbai via the suburban railway network.
-
E.
Datooga
Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e5ca33481909a6cb06c636889f9 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f200c88190a2aab15373cbedf5 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6ba0904e8819098bae29961bf0046 |
completed | May 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:39 p.m.