Triple
T14971678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitakadai Station |
E373334
|
entity |
| Predicate | tracksUsage |
P116897
|
FINISHED |
| Object | all-stations services only |
—
|
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: all-stations services only | Statement: [Mitakadai Station, tracksUsage, all-stations services only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tracksUsage Context triple: [Mitakadai Station, tracksUsage, all-stations services only]
-
A.
trackUsage
Indicates that one entity monitors and records how another entity or resource is being used over time.
-
B.
trackAccess
Indicates that one entity monitors, records, or keeps a log of another entity’s access or usage of a resource.
-
C.
eventUsage
Indicates how an event is employed, applied, or utilized within a particular context or process.
-
D.
tourUsage
Indicates how a tour is intended to be used or the manner in which it is utilized within a given context.
-
E.
trackRecordUsedFor
Indicates that a track record is utilized as a basis or input for some subsequent decision, evaluation, or process.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:50 a.m.