Triple
T13763334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 500 series Shinkansen |
E330669
|
entity |
| Predicate | reasonForReassignment |
P6009
|
FINISHED |
| Object | introduction of N700 series Shinkansen |
—
|
LITERAL 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: introduction of N700 series Shinkansen | Statement: [500 series Shinkansen, reasonForReassignment, introduction of N700 series Shinkansen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForReassignment Context triple: [500 series Shinkansen, reasonForReassignment, introduction of N700 series Shinkansen]
-
A.
reasonForRelocation
Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
-
B.
reasonForChange
chosen
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
C.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
D.
reassignedFrom
Indicates that an entity previously held by or associated with one source has been transferred or moved away from that original source to another.
-
E.
reasonForReoffer
Indicates the reason or justification for presenting something again after it was previously offered.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022690ac8190bd5410ecc659a2a7 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:10 p.m.