Triple
T1614340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel Daylight Time |
E34680
|
entity |
| Predicate | usesSameOffsetAs |
P8570
|
FINISHED |
| Object | Moscow Time (when Moscow is UTC+3) |
—
|
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: Moscow Time (when Moscow is UTC+3) | Statement: [Israel Daylight Time, usesSameOffsetAs, Moscow Time (when Moscow is UTC+3)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSameOffsetAs Context triple: [Israel Daylight Time, usesSameOffsetAs, Moscow Time (when Moscow is UTC+3)]
-
A.
usesOffsetFrom
Indicates that one entity determines or expresses its position, value, or behavior relative to another by applying a specified offset from that reference.
-
B.
isOffsetFrom
Indicates that one entity’s position, value, or occurrence is displaced by a specified amount or direction relative to another entity.
-
C.
sameUTCOffsetAs
chosen
Indicates that two time-related entities share the same offset from Coordinated Universal Time (UTC), regardless of their specific time zones or locations.
-
D.
observesSameTimeAs
Indicates that two observation events occur simultaneously or during the same time interval.
-
E.
offsets
Indicates that one entity counterbalances, compensates for, or reduces the effect, value, or impact of 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fef600c819080fe75c42c8e6dac |
completed | March 5, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69a907c52a548190b648a31ea306dd5b |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.