Triple
T27962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chile Standard Time |
E558
|
entity |
| Predicate | DSTRelation |
P2163
|
FINISHED |
| Object | standard time complement of Chile Summer 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: standard time complement of Chile Summer Time | Statement: [Chile Standard Time, DSTRelation, standard time complement of Chile Summer Time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DSTRelation Context triple: [Chile Standard Time, DSTRelation, standard time complement of Chile Summer Time]
-
A.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
derivedFrom
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
C.
notableRelative
Indicates that an entity has a relative who is notable or well-known, specifying that familial relationship.
-
D.
dateOfRelatedEvent
Indicates that there is a specific date on which a related event associated with the subject occurs or occurred.
-
E.
connectsTo
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24925607c8190a9ce7ec834f3e5bb |
completed | Feb. 28, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69a2486bd74c81908d32be3c7d22f51f |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a249246968819099985f13127063d2 |
completed | Feb. 28, 2026, 1:47 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.