Triple
T720206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kediri Kingdom |
E14598
|
entity |
| Predicate | literaryLanguage |
P9828
|
FINISHED |
| Object | Kawi |
E13623
|
NE FINISHED |
How this triple was built (2 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: Kawi | Statement: [Kediri Kingdom, literaryLanguage, Kawi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawi Context triple: [Kediri Kingdom, literaryLanguage, Kawi]
-
A.
Kawi script
chosen
Kawi script is an ancient Brahmic-derived writing system historically used across Java and other parts of Southeast Asia to write Old Javanese and related languages.
-
B.
Kokin Wakashū
Kokin Wakashū is an early 10th-century imperial anthology of Japanese waka poetry that became a foundational model for classical Japanese literature and poetic aesthetics.
-
C.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
-
D.
Fus’ha
Fus’ha is the standardized, formal variety of Arabic used in writing, education, media, and official communication across the Arab world.
-
E.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a63759d6108190adcdeac45e4c7766 |
completed | March 3, 2026, 1:20 a.m. |
Created at: March 1, 2026, 7:37 p.m.