Triple
T22851755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wajin |
E566371
|
entity |
| Predicate | relatedTerm |
P37
|
FINISHED |
| Object | Wa (Japan) |
—
|
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: Wa (Japan) | Statement: [Wajin, relatedTerm, Wa (Japan)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wa (Japan) Context triple: [Wajin, relatedTerm, Wa (Japan)]
-
A.
Wa (ancient Japan)
chosen
Wa (ancient Japan) was the early Japanese polity recorded in Chinese and Korean chronicles, representing the proto-state society of the Japanese archipelago before the formation of a unified Yamato state.
-
B.
Japo
Japo is a small settlement located on Arno Atoll in the Marshall Islands.
-
C.
Ota, Japan
Ōta is a special ward in Tokyo, Japan, known for Haneda Airport, its coastal location on Tokyo Bay, and a mix of residential, industrial, and commercial districts.
-
D.
Tokuyama, Japan
Tokuyama, Japan is a coastal industrial city in Yamaguchi Prefecture known historically for its port facilities and petrochemical industry.
-
E.
Kawachinagano, Japan
Kawachinagano is a city in Osaka Prefecture, Japan, known for its scenic mountainous landscapes, historic temples, and role as a residential and commuter community near Osaka.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb9a5b8819091cbb4ac42fbf778 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.