Triple
T29264406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Shikoku Yosan Line |
E741934
|
entity |
| Predicate | ownerBeforeJNRReform |
P69957
|
FINISHED |
| Object | Japanese National Railways |
—
|
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: Japanese National Railways | Statement: [JR Shikoku Yosan Line, ownerBeforeJNRReform, Japanese National Railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerBeforeJNRReform Context triple: [JR Shikoku Yosan Line, ownerBeforeJNRReform, Japanese National Railways]
-
A.
ownerBeforeJNR
Indicates that one entity was the owner of another entity prior to a specific reference point or event (e.g., before a junior or subsequent ownership change).
-
B.
ownerBeforeJNRBreakup
chosen
Indicates that one entity was the owner of another entity prior to the breakup of the Japanese National Railways (JNR).
-
C.
regionBeforeReform
Indicates that a region is defined or considered as it existed prior to a specific reform or reorganization.
-
D.
followedEarlierReform
Indicates that one entity adopted or implemented a reform at an earlier time than another entity did.
-
E.
createdByReform
Indicates that something came into existence or was established as a direct result of a reform or reform process.
- F. None of above.
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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 28, 2026, 12:43 p.m.