Triple
T100762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easter Island |
E2034
|
entity |
| Predicate | timeZoneDSTOffset |
P713
|
FINISHED |
| Object | UTC−5 |
—
|
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−5 | Statement: [Easter Island, timeZoneDSTOffset, UTC−5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeZoneDSTOffset Context triple: [Easter Island, timeZoneDSTOffset, UTC−5]
-
A.
UTCOffsetDaylightSavingTime
chosen
Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
-
B.
UTCOffsetStandardTime
Indicates the time difference, in hours and minutes, that a location’s standard (non-daylight-saving) local time has from Coordinated Universal Time (UTC).
-
C.
DSTAbbreviation
Indicates that one entity is the standard abbreviated form used to represent another entity related to daylight saving time.
-
D.
timeZoneType
Indicates the classification or category of a time zone associated with an entity (e.g., standard, daylight, or specific time zone format/type).
-
E.
typicalOffsetFromCentralTime
Indicates the usual time difference between a given time zone and Central Time (CT), expressed as an offset 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25760af348190bf402089c240887d |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2563921f8819087f720b1c803579f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.