Triple
T720200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kediri Kingdom |
E14598
|
entity |
| Predicate | notableRuler |
P22
|
FINISHED |
| Object |
Kameçvara
Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
|
E104718
|
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: Kameçvara | Statement: [Kediri Kingdom, notableRuler, Kameçvara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kameçvara Context triple: [Kediri Kingdom, notableRuler, Kameçvara]
-
A.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
B.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
C.
Buksa
Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
-
D.
Kalderash
Kalderash are a prominent subgroup of the Roma people, traditionally known as itinerant metalworkers and craftsmen spread across Eastern and Central Europe and beyond.
-
E.
Kadifekale
Kadifekale is a historic hilltop castle and fortress overlooking the city of Izmir in western Turkey.
- 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: Kameçvara Triple: [Kediri Kingdom, notableRuler, Kameçvara]
Generated description
Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kameçvara Target entity description: Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
-
A.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
B.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
C.
Buksa
Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
-
D.
Kalderash
Kalderash are a prominent subgroup of the Roma people, traditionally known as itinerant metalworkers and craftsmen spread across Eastern and Central Europe and beyond.
-
E.
Kadifekale
Kadifekale is a historic hilltop castle and fortress overlooking the city of Izmir in western Turkey.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58e65e8819098cba7e6a20d8f33 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c005750881909187edfa8e8fa02c |
completed | March 4, 2026, 5:15 a.m. |
| NEDg | Description generation | batch_69a7c07c09f8819082e9c59d22f607cf |
completed | March 4, 2026, 5:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c10b114c8190831a95519dd185a2 |
completed | March 4, 2026, 5:20 a.m. |
Created at: March 1, 2026, 7:37 p.m.