Triple
T7333631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran Standard Time |
E169067
|
entity |
| Predicate | offsetReference |
P44989
|
FINISHED |
| Object | UTC+03:30 |
—
|
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: UTC+03:30 | Statement: [Iran Standard Time, offsetReference, UTC+03:30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offsetReference Context triple: [Iran Standard Time, offsetReference, UTC+03:30]
-
A.
offsetFrom
chosen
Indicates that one entity is positioned or scheduled at a specific distance, time, or value away from another reference entity.
-
B.
refersToPosition
Indicates that one entity makes reference to, or is associated with, a specific position or location of another entity.
-
C.
offsetNotation
Indicates that one representation specifies how far and in what way another representation is shifted or displaced from a reference point or baseline.
-
D.
relativePosition
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
-
E.
offsetType
Indicates the specific kind or category of offset applied in a relationship, such as how far or in what manner one value, position, or event is shifted relative to another.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:04 p.m.