Triple
T1529605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calcutta Time |
E32409
|
entity |
| Predicate | differenceFromGMTInMinutes |
P26622
|
FINISHED |
| Object | 353.3333 |
—
|
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: 353.3333 | Statement: [Calcutta Time, differenceFromGMTInMinutes, 353.3333]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromGMTInMinutes Context triple: [Calcutta Time, differenceFromGMTInMinutes, 353.3333]
-
A.
differenceFromUSEasternDaylightTime
Indicates that one temporal value differs by a specified amount or offset from the time expressed in US Eastern Daylight Time.
-
B.
timeDifferenceWithGreenwichMeanTime
chosen
Indicates the time offset or difference between a given time reference and Greenwich Mean Time (GMT).
-
C.
differenceFromUSEasternStandardTime
Indicates the time offset or deviation of something’s time setting relative to U.S. Eastern Standard Time.
-
D.
offsetFromUTCInMinutes
Indicates the number of minutes by which a given time value differs from Coordinated Universal Time (UTC), positive or negative.
-
E.
timeDifferenceFromCentralStandard
Indicates the time offset between a given time reference and Central Standard Time (CST), typically expressed as the difference in hours or minutes.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.