Triple
T613067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samoa Time Zone |
E12141
|
entity |
| Predicate | earlierThan |
P11124
|
FINISHED |
| Object | Hawaii–Aleutian Time Zone during standard time |
—
|
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: Hawaii–Aleutian Time Zone during standard time | Statement: [Samoa Time Zone, earlierThan, Hawaii–Aleutian Time Zone during standard time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlierThan Context triple: [Samoa Time Zone, earlierThan, Hawaii–Aleutian Time Zone during standard time]
-
A.
createdBefore
Indicates that one entity was created at an earlier time than another entity.
-
B.
appearsBefore
chosen
Indicates that one entity occurs, is positioned, or is presented earlier in an ordered sequence than another entity.
-
C.
chronologicallyAfter
Indicates that one event or state occurs later in time than another.
-
D.
smallerThan
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
E.
isOldest
Indicates that one entity has a greater age than all other relevant entities in the comparison set.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e08dbf88190ab050078a63e266b |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfbcbf88190a854921dc531eba8 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.