Triple
T5798355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombo District |
E128561
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kesbewa
Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
|
E549035
|
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: Kesbewa | Statement: [Colombo District, contains, Kesbewa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kesbewa Context triple: [Colombo District, contains, Kesbewa]
-
A.
Kwekwe
Kwekwe is an industrial and mining city in central Zimbabwe known for its steel production and gold mining activities.
-
B.
Kukawa
Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
-
C.
Kanowit
Kanowit is a small riverside town and district in Sarawak, Malaysia, known for its location at the confluence of the Rajang and Kanowit rivers and its ethnically diverse Iban, Chinese, and Malay communities.
-
D.
Kuanua
Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
-
E.
Kapashera
Kapashera is a locality in the South West district of Delhi, India, known for its proximity to the Delhi-Gurugram border and its role as an administrative and commercial hub in the area.
- 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: Kesbewa Triple: [Colombo District, contains, Kesbewa]
Generated description
Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kesbewa Target entity description: Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
-
A.
Kwekwe
Kwekwe is an industrial and mining city in central Zimbabwe known for its steel production and gold mining activities.
-
B.
Kukawa
Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
-
C.
Kanowit
Kanowit is a small riverside town and district in Sarawak, Malaysia, known for its location at the confluence of the Rajang and Kanowit rivers and its ethnically diverse Iban, Chinese, and Malay communities.
-
D.
Kuanua
Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
-
E.
Kapashera
Kapashera is a locality in the South West district of Delhi, India, known for its proximity to the Delhi-Gurugram border and its role as an administrative and commercial hub in the area.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a959b108190a7408560e1b34cd2 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098302d4c81908b56747d304b3e6a |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098d889e08190adbd12504a7f3fa1 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09990da18819099fdc8f25f2ddef2 |
completed | March 23, 2026, 1:38 a.m. |
Created at: March 22, 2026, 3:51 p.m.