Triple
T13493860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kandyan Kingdom |
E320707
|
entity |
| Predicate | mainCity |
P3207
|
FINISHED |
| Object |
Senkadagala
Senkadagala is the historic city in Sri Lanka that served as the capital and cultural center of the Kandyan Kingdom.
|
E1043278
|
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: Senkadagala | Statement: [Kandyan Kingdom, mainCity, Senkadagala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senkadagala Context triple: [Kandyan Kingdom, mainCity, Senkadagala]
-
A.
Sagala
Sagala was an important ancient city in the Punjab region, historically known as a major political and cultural center under Indo-Greek rule.
-
B.
Dagana
Dagana is a historic town in the Senegal River valley that served as an important center in the former Futa Tooro region.
-
C.
Kadensho
Kadensho is a seminal treatise on Noh theatre aesthetics and performance theory traditionally attributed to the playwright and actor Zeami Motokiyo.
-
D.
Farkadona
Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
-
E.
Darganata
Darganata is a town in eastern Turkmenistan situated along the Amu Darya River in the Lebap Region.
- 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: Senkadagala Triple: [Kandyan Kingdom, mainCity, Senkadagala]
Generated description
Senkadagala is the historic city in Sri Lanka that served as the capital and cultural center of the Kandyan Kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Senkadagala Target entity description: Senkadagala is the historic city in Sri Lanka that served as the capital and cultural center of the Kandyan Kingdom.
-
A.
Sagala
Sagala was an important ancient city in the Punjab region, historically known as a major political and cultural center under Indo-Greek rule.
-
B.
Dagana
Dagana is a historic town in the Senegal River valley that served as an important center in the former Futa Tooro region.
-
C.
Kadensho
Kadensho is a seminal treatise on Noh theatre aesthetics and performance theory traditionally attributed to the playwright and actor Zeami Motokiyo.
-
D.
Farkadona
Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
-
E.
Darganata
Darganata is a town in eastern Turkmenistan situated along the Amu Darya River in the Lebap Region.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463d3a948190aab07a25fd903d4e |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f7496187988190b42e51f192cd4a80 |
completed | May 3, 2026, 1:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74a0420908190b2b4988cc4d4a20a |
completed | May 3, 2026, 1:13 p.m. |
Created at: April 9, 2026, 9:43 p.m.