Triple
T19478623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Names of Singapore |
E487318
|
entity |
| Predicate | hasHistoricalName |
P2834
|
FINISHED |
| Object | Syonan-to |
—
|
NE NERFINISHED |
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: Syonan-to | Statement: [Names of Singapore, hasHistoricalName, Syonan-to]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syonan-to Context triple: [Names of Singapore, hasHistoricalName, Syonan-to]
-
A.
Syonan
chosen
Syonan was the name used by Imperial Japan for Singapore during its World War II occupation from 1942 to 1945.
-
B.
Enyō
Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
-
C.
Syon
Syon is a historic district in west London best known for Syon House and its surrounding parkland, the London home of the Duke of Northumberland.
-
D.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
E.
Seiyo
Seiyo is a city located in western Shikoku, Japan, known for its rural landscapes, terraced fields, and coastal scenery along the Uwa Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63437b9748190a8fc6bf6b3d90918 |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.