Triple
T6071454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakurajima Line |
E135289
|
entity |
| Predicate | lineCode |
P508
|
FINISHED |
| Object | JR-P |
E512403
|
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: JR-P | Statement: [Sakurajima Line, lineCode, JR-P]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JR-P Context triple: [Sakurajima Line, lineCode, JR-P]
-
A.
JR-P17
chosen
JR-P17 is the station code assigned to Sakurajima Station on the JR rail network in Japan.
-
B.
JR
JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
-
C.
JR
JR is a character from Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," which chronicles the lives and relationships of a diverse group of lesbian friends.
-
D.
JR-O06
JR-O06 is the station code assigned to Osakajokoen Station on the JR West railway network in Osaka, Japan.
-
E.
JIRP
JIRP is a long-running glaciological and mountaineering research and education program based on Alaska’s Juneau Icefield.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05758a21c81909cc10ef5f725a489 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d349f288190833384eb9e6c7f52 |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:10 p.m.