Triple
T28217357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsurugi |
E711347
|
entity |
| Predicate | railwayServiceNumbering |
P172811
|
FINISHED |
| Object | Tsurugi train numbers on Hokuriku Shinkansen diagrams |
—
|
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: Tsurugi train numbers on Hokuriku Shinkansen diagrams | Statement: [Tsurugi, railwayServiceNumbering, Tsurugi train numbers on Hokuriku Shinkansen diagrams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayServiceNumbering Context triple: [Tsurugi, railwayServiceNumbering, Tsurugi train numbers on Hokuriku Shinkansen diagrams]
-
A.
railwayLineNumberingSystem
Indicates a system that assigns and manages identifying numbers for railway lines within a rail network.
-
B.
railwayLineNumber
Indicates the identifying number assigned to a specific railway line within a rail network.
-
C.
hasRailwayStationNumberingSystem
Indicates that a railway station is associated with a specific system for assigning it an identifying number or code.
-
D.
railcodeSystem
Indicates a relationship where a rail-specific code is assigned to, used by, or governs a particular system within a railway context.
-
E.
hasRailwayLineNumber
Indicates the specific identification number assigned to a railway line associated with an entity.
- F. None of above. chosen
Provenance (4 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 27, 2026, 10:44 p.m.