Triple
T30629173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MMT |
E779665
|
entity |
| Predicate | offsetFromCET |
P170257
|
FINISHED |
| Object | +05:30 |
—
|
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: +05:30 | Statement: [MMT, offsetFromCET, +05:30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offsetFromCET Context triple: [MMT, offsetFromCET, +05:30]
-
A.
offsetFromEasternEuropeanTime
Indicates that one time value is a specified offset relative to Eastern European Time (EET).
-
B.
timeDifferenceToCETSummer
Indicates the time offset between a given time and Central European Time during the summer (daylight saving) period.
-
C.
timeDifferenceToCETWinter
Indicates the time offset between a given time and Central European Time during the winter (standard time) period.
-
D.
offsetFromUTC
Indicates the time difference between a given time value and Coordinated Universal Time (UTC), typically expressed as an offset in hours and/or minutes.
-
E.
offsetInSecondsFromUTC
Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 8:28 p.m.