Triple
T16694366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhuvanekabahu VII |
E405675
|
entity |
| Predicate | co-rulerOrRival |
P58581
|
FINISHED |
| Object |
Raigama Bandara
Raigama Bandara was a 16th-century Sri Lankan royal figure known for his power struggle and rivalry with King Bhuvanekabahu VII during a turbulent period in the Kingdom of Kotte.
|
E1251851
|
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: Raigama Bandara | Statement: [Bhuvanekabahu VII, co-rulerOrRival, Raigama Bandara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raigama Bandara Context triple: [Bhuvanekabahu VII, co-rulerOrRival, Raigama Bandara]
-
A.
KAI Bandara
KAI Bandara is an Indonesian railway company subsidiary that specializes in operating airport rail link services.
-
B.
Sunan Airport
Sunan Airport is the main international airport serving Pyongyang, the capital of North Korea.
-
C.
Yoron Airport
Yoron Airport is a small regional airport on Yoron Island in Kagoshima Prefecture, Japan, providing domestic air links to the mainland and nearby islands.
-
D.
Hana Airport
Hana Airport is a small regional airport serving the remote town of Hāna on the eastern coast of Maui, Hawaii.
-
E.
Memuro Airport
Memuro Airport is a small regional airfield in Hokkaido, Japan, primarily serving local general aviation and agricultural flights.
- 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: Raigama Bandara Triple: [Bhuvanekabahu VII, co-rulerOrRival, Raigama Bandara]
Generated description
Raigama Bandara was a 16th-century Sri Lankan royal figure known for his power struggle and rivalry with King Bhuvanekabahu VII during a turbulent period in the Kingdom of Kotte.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raigama Bandara Target entity description: Raigama Bandara was a 16th-century Sri Lankan royal figure known for his power struggle and rivalry with King Bhuvanekabahu VII during a turbulent period in the Kingdom of Kotte.
-
A.
KAI Bandara
KAI Bandara is an Indonesian railway company subsidiary that specializes in operating airport rail link services.
-
B.
Sunan Airport
Sunan Airport is the main international airport serving Pyongyang, the capital of North Korea.
-
C.
Yoron Airport
Yoron Airport is a small regional airport on Yoron Island in Kagoshima Prefecture, Japan, providing domestic air links to the mainland and nearby islands.
-
D.
Hana Airport
Hana Airport is a small regional airport serving the remote town of Hāna on the eastern coast of Maui, Hawaii.
-
E.
Memuro Airport
Memuro Airport is a small regional airfield in Hokkaido, Japan, primarily serving local general aviation and agricultural flights.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eab93a081909aedc45f3f8f0e10 |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014136275c819084da2756632e0f48 |
completed | May 11, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_6a0141cadb6c8190b2832e12fd431b0b |
completed | May 11, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014264ff8881909722c262c3f85e1f |
completed | May 11, 2026, 2:43 a.m. |
Created at: April 10, 2026, 5:19 a.m.