Triple
T13209214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Rapid |
E314443
|
entity |
| Predicate | differenceFromMetroLocal |
P108516
|
FINISHED |
| Object | fewer stops |
—
|
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: fewer stops | Statement: [Metro Rapid, differenceFromMetroLocal, fewer stops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromMetroLocal Context triple: [Metro Rapid, differenceFromMetroLocal, fewer stops]
-
A.
differenceFromUSEasternStandardTime
Indicates the time offset or deviation of something’s time setting relative to U.S. Eastern Standard Time.
-
B.
differenceFromUSEasternDaylightTime
Indicates that one temporal value differs by a specified amount or offset from the time expressed in US Eastern Daylight Time.
-
C.
differenceFromChinaStandardTime
Indicates the time offset or deviation of something’s time setting relative to China Standard Time.
-
D.
timeDifferenceFromCentralStandard
Indicates the time offset between a given time reference and Central Standard Time (CST), typically expressed as the difference in hours or minutes.
-
E.
differenceFromPakistanStandardTime
Indicates the time offset or deviation of a given time or timezone relative to Pakistan Standard Time.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:17 p.m.