Triple
T12801867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N700S series |
E306036
|
entity |
| Predicate | usedFor |
P98
|
FINISHED |
| Object | Kodama services |
E307376
|
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: Kodama services | Statement: [N700S series, usedFor, Kodama services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kodama services Context triple: [N700S series, usedFor, Kodama services]
-
A.
Kode
Kode is a music producer known for crafting high-impact tracks for prominent artists in the Superstar music scene.
-
B.
Kōdō
Kōdō is the Lecture Hall of the historic Tōshōdai-ji Buddhist temple in Nara, Japan, used for religious teachings and ceremonial gatherings.
-
C.
KOD
KOD is a 2018 studio album by American rapper J. Cole that explores themes of addiction, consumerism, and mental health through a mix of introspective lyricism and social commentary.
-
D.
Kodama
Kodama is a Japanese surname borne by various notable figures in fields such as politics, the military, the arts, and sports.
-
E.
Kodama
chosen
Kodama is a Japanese Shinkansen train service known for its all-stop, slower-speed runs along high-speed rail lines such as the Tokaido Shinkansen.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7d3f5c8190bf01bef5d263ca26 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6851143588190b0980e760e030b0b |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.