Triple
T11122475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadamba dynasty |
E263050
|
entity |
| Predicate | hasMonarch |
P765
|
FINISHED |
| Object |
Kangavarma
Kangavarma was an early ruler of the Kadamba dynasty in ancient Karnataka, known for consolidating the kingdom’s power and territorial control.
|
E906101
|
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: Kangavarma | Statement: [Kadamba dynasty, hasMonarch, Kangavarma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kangavarma Context triple: [Kadamba dynasty, hasMonarch, Kangavarma]
-
A.
Varma
Varma is a surname of Indian origin borne by numerous notable individuals across fields such as politics, arts, and entertainment.
-
B.
Kagermeer
Kagermeer is a lake in the Kagerplassen lake district in South Holland, Netherlands, popular for boating and watersports.
-
C.
Isokyrö
Isokyrö is a rural municipality in western Finland known for its historic churches, agricultural landscape, and traditional Ostrobothnian culture.
-
D.
Hotien
Hotien is an alternative romanized spelling of Hotan, a historic oasis city in southwestern Xinjiang, China, known for its ancient Silk Road heritage and jade production.
-
E.
Klakah
Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
- 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: Kangavarma Triple: [Kadamba dynasty, hasMonarch, Kangavarma]
Generated description
Kangavarma was an early ruler of the Kadamba dynasty in ancient Karnataka, known for consolidating the kingdom’s power and territorial control.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kangavarma Target entity description: Kangavarma was an early ruler of the Kadamba dynasty in ancient Karnataka, known for consolidating the kingdom’s power and territorial control.
-
A.
Varma
Varma is a surname of Indian origin borne by numerous notable individuals across fields such as politics, arts, and entertainment.
-
B.
Kagermeer
Kagermeer is a lake in the Kagerplassen lake district in South Holland, Netherlands, popular for boating and watersports.
-
C.
Isokyrö
Isokyrö is a rural municipality in western Finland known for its historic churches, agricultural landscape, and traditional Ostrobothnian culture.
-
D.
Hotien
Hotien is an alternative romanized spelling of Hotan, a historic oasis city in southwestern Xinjiang, China, known for its ancient Silk Road heritage and jade production.
-
E.
Klakah
Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79afa0ab88190ab6d61df8cf485ec |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8643748190a7801fc401dd2b5a |
completed | April 19, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69e42f3eaa0c819095e5af20b910d979 |
completed | April 19, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e43771eaec8190be9bb709723931e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.