Triple
T21342206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rinkai Line |
E526222
|
entity |
| Predicate | throughServiceStarted |
P143780
|
FINISHED |
| Object | 2002-12-01 |
—
|
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: 2002-12-01 | Statement: [Rinkai Line, throughServiceStarted, 2002-12-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: throughServiceStarted Context triple: [Rinkai Line, throughServiceStarted, 2002-12-01]
-
A.
firstRegularServiceStarted
Indicates that the initial instance of a regular, scheduled service or operation began at a specified time.
-
B.
enteredServiceBefore
Indicates that one entity began its period of service earlier in time than another entity.
-
C.
stage2ServiceStart
Indicates that the second stage of a service or process has begun or been initiated.
-
D.
enteredService
Indicates that an entity began active use or operation at a specific time or in a specific context.
-
E.
hasThroughServiceWith
Indicates that two transportation services are operationally linked so that a passenger or shipment can continue from one to the other without a separate booking or major interruption.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a84fa8088190afda63af7f4ce586 |
completed | April 22, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:44 p.m.