Triple
T4034201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Kandy |
E83787
|
entity |
| Predicate | territoryIncludes |
P285
|
FINISHED |
| Object |
Sabaragamuwa
Sabaragamuwa is a historical region in Sri Lanka known for its rich natural resources, including gem mining and lush rainforests.
|
E434820
|
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: Sabaragamuwa | Statement: [King of Kandy, territoryIncludes, Sabaragamuwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabaragamuwa Context triple: [King of Kandy, territoryIncludes, Sabaragamuwa]
-
A.
Polonnaruwa
Polonnaruwa is an ancient city in Sri Lanka renowned for its well-preserved medieval ruins and role as a major royal capital of the Sinhalese kingdom.
-
B.
Ambalangoda
Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
-
C.
Aluthgama
Aluthgama is a coastal town in southwestern Sri Lanka known for its beaches, tourism, and location along major road and rail routes.
-
D.
Koggala
Koggala is a coastal town in southern Sri Lanka known for its scenic beach, lagoon, and proximity to the historic city of Galle.
-
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: Sabaragamuwa Triple: [King of Kandy, territoryIncludes, Sabaragamuwa]
Generated description
Sabaragamuwa is a historical region in Sri Lanka known for its rich natural resources, including gem mining and lush rainforests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sabaragamuwa Target entity description: Sabaragamuwa is a historical region in Sri Lanka known for its rich natural resources, including gem mining and lush rainforests.
-
A.
Polonnaruwa
Polonnaruwa is an ancient city in Sri Lanka renowned for its well-preserved medieval ruins and role as a major royal capital of the Sinhalese kingdom.
-
B.
Ambalangoda
Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
-
C.
Aluthgama
Aluthgama is a coastal town in southwestern Sri Lanka known for its beaches, tourism, and location along major road and rail routes.
-
D.
Koggala
Koggala is a coastal town in southern Sri Lanka known for its scenic beach, lagoon, and proximity to the historic city of Galle.
-
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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb11d92481909aaebbc250ff45b9 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4d20dd0819080773876f6198250 |
completed | March 14, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69b5e58d77d88190b59e372eeec35195 |
completed | March 14, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e5fa68c08190a482cb7ea9030515 |
completed | March 14, 2026, 10:49 p.m. |
Created at: March 9, 2026, 3:36 p.m.