Triple
T5798364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombo District |
E128561
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ratmalana
Ratmalana is a suburban area of Colombo in Sri Lanka, known for its residential neighborhoods and the historic Ratmalana Airport.
|
E549463
|
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: Ratmalana | Statement: [Colombo District, contains, Ratmalana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratmalana Context triple: [Colombo District, contains, Ratmalana]
-
A.
Hambantota
Hambantota is a coastal city in southern Sri Lanka known for its rapid development, including major infrastructure projects like a deep-sea port and international airport.
-
B.
Kalutara
Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
-
C.
Bentota
Bentota is a popular coastal resort town in southwestern Sri Lanka, known for its beaches, river, and water sports tourism.
-
D.
Bandarawela
Bandarawela is a cool-climate hill town in Sri Lanka known for its tea plantations, scenic mountain landscapes, and colonial-era charm.
-
E.
Hikkaduwa
Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
- 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: Ratmalana Triple: [Colombo District, contains, Ratmalana]
Generated description
Ratmalana is a suburban area of Colombo in Sri Lanka, known for its residential neighborhoods and the historic Ratmalana Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ratmalana Target entity description: Ratmalana is a suburban area of Colombo in Sri Lanka, known for its residential neighborhoods and the historic Ratmalana Airport.
-
A.
Hambantota
Hambantota is a coastal city in southern Sri Lanka known for its rapid development, including major infrastructure projects like a deep-sea port and international airport.
-
B.
Kalutara
Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
-
C.
Bentota
Bentota is a popular coastal resort town in southwestern Sri Lanka, known for its beaches, river, and water sports tourism.
-
D.
Bandarawela
Bandarawela is a cool-climate hill town in Sri Lanka known for its tea plantations, scenic mountain landscapes, and colonial-era charm.
-
E.
Hikkaduwa
Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
- 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_69c0a17bb5908190849f7e84ba18b0e3 |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a1fc8d888190baf5547a43b87bb6 |
completed | March 23, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a260a0e48190a72805ba2c925c20 |
completed | March 23, 2026, 2:16 a.m. |
Created at: March 22, 2026, 3:51 p.m.