Triple
T13959599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ampara District |
E335756
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Lahugala
Lahugala is a rural village in Sri Lanka’s Eastern Province, known for its proximity to the Lahugala Kitulana National Park and its rich wildlife.
|
E1071439
|
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: Lahugala | Statement: [Ampara District, hasSettlement, Lahugala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lahugala Context triple: [Ampara District, hasSettlement, Lahugala]
-
A.
Nagamangala
Nagamangala is a town in the Indian state of Karnataka known for its temples and role as a local commercial and administrative center.
-
B.
Ruwanwella
Ruwanwella is a small town in Sri Lanka known for its historical fort and scenic surroundings, located within the Sabaragamuwa Province.
-
C.
Dahanayake
Dahanayake is a Sinhalese surname most notably associated with Sri Lankan politician W. Dahanayake, who served briefly as Prime Minister of Ceylon.
-
D.
Maradana
Maradana is a densely populated, centrally located neighborhood in Colombo, Sri Lanka, known as a major transport and educational hub of the city.
-
E.
Attanagalla
Attanagalla is a historically significant electoral division in Sri Lanka long associated with the influential Bandaranaike political family.
- 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: Lahugala Triple: [Ampara District, hasSettlement, Lahugala]
Generated description
Lahugala is a rural village in Sri Lanka’s Eastern Province, known for its proximity to the Lahugala Kitulana National Park and its rich wildlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lahugala Target entity description: Lahugala is a rural village in Sri Lanka’s Eastern Province, known for its proximity to the Lahugala Kitulana National Park and its rich wildlife.
-
A.
Nagamangala
Nagamangala is a town in the Indian state of Karnataka known for its temples and role as a local commercial and administrative center.
-
B.
Ruwanwella
Ruwanwella is a small town in Sri Lanka known for its historical fort and scenic surroundings, located within the Sabaragamuwa Province.
-
C.
Dahanayake
Dahanayake is a Sinhalese surname most notably associated with Sri Lankan politician W. Dahanayake, who served briefly as Prime Minister of Ceylon.
-
D.
Maradana
Maradana is a densely populated, centrally located neighborhood in Colombo, Sri Lanka, known as a major transport and educational hub of the city.
-
E.
Attanagalla
Attanagalla is a historically significant electoral division in Sri Lanka long associated with the influential Bandaranaike political family.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7b2f908190aa32f22298964746 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d490048190b28cb44dd4ec46c4 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5646cb48190acd932f6fbd6fe62 |
completed | May 6, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba6525d0c8190a1ab15881030c11c |
completed | May 6, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:17 p.m.