Triple
T5236418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nihon Shoki |
E118231
|
entity |
| Predicate | mentions |
P831
|
FINISHED |
| Object | Silla |
E113434
|
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: Silla | Statement: [Nihon Shoki, mentions, Silla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silla Context triple: [Nihon Shoki, mentions, Silla]
-
A.
Silla
chosen
Silla was an ancient Korean kingdom that unified most of the Korean Peninsula in the 7th century and played a central role in the development of early Korean culture, Buddhism, and statehood.
-
B.
Gofa
Gofa is an Omotic language spoken primarily by the Gofa people in southwestern Ethiopia.
-
C.
Chichele Chair
The Chichele Chair is a prestigious endowed professorship at the University of Oxford, historically associated with leading scholars in fields such as social and political theory.
-
D.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
E.
Rueda
Rueda is a Spanish town in the autonomous community of Castile and León, best known for giving its name to the renowned Rueda white wine appellation.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2595c88190b4ca0b99c2f31472 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef81cca948190ab00302787367f43 |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:49 p.m.