Triple
T21545481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sognsvann station |
E531611
|
entity |
| Predicate | convertedToMetroStandard |
P119304
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Sognsvann station, convertedToMetroStandard, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToMetroStandard Context triple: [Sognsvann station, convertedToMetroStandard, 1993]
-
A.
differenceFromMetroLocal
Indicates a relationship where something is distinguished or deviates in some way from the characteristics, standards, or conditions of a referenced metro local entity or service.
-
B.
observedAsStandardTimeIn
Indicates that a particular time standard is used as the official or standard time within a specified place or region.
-
C.
convertedIn
chosen
Indicates that one entity has been transformed, changed, or translated into another form, state, or representation within a specified context.
-
D.
standardTimeCounterpart
Indicates that one time representation is the corresponding value expressed in a standard or canonical time format for the other.
-
E.
isStandardTime
Indicates that a given time value is expressed in standard (non-daylight-saving) time for its associated time zone.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58e38808190888f3501cf4fff7c |
completed | April 27, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:28 p.m.