Triple
T2868493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Japan Railway Company |
E63498
|
entity |
| Predicate | focusCity |
P164
|
FINISHED |
| Object | Tsu |
E285638
|
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: Tsu | Statement: [Central Japan Railway Company, focusCity, Tsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsu Context triple: [Central Japan Railway Company, focusCity, Tsu]
-
A.
Tsu
chosen
Tsu is a coastal city in central Japan that serves as the administrative and economic center of Mie Prefecture.
-
B.
Chō
Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
-
C.
Yukio
Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
-
D.
Kuwana
Kuwana is a city in central Japan known historically as a post town on the Tōkaidō route and for its cultural sites and traditional festivals.
-
E.
Tenjin
Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfdfef1881909dc52a1b34cd24e3 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3ac3bc481909bf1d220fdf06488 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 6, 2026, 10:02 p.m.