Triple
T20262251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisei Main Line |
E498869
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Shingu |
—
|
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: Shingu | Statement: [Kisei Main Line, connectsCity, Shingu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shingu Context triple: [Kisei Main Line, connectsCity, Shingu]
-
A.
Shingu
chosen
Shingu is a coastal city in Japan known for its historic Kumano Hongu Taisha shrine and its role as a gateway to the sacred Kumano Kodo pilgrimage routes.
-
B.
Shinjo
Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
-
C.
Shinshiro
Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
-
D.
Shinma
Shinma is a Japanese surname borne by various individuals, including figures in sports, entertainment, and other fields.
-
E.
Shinrone
Shinrone is a small village in County Offaly, Ireland, known for its rural character and historic parish community.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.