Triple
T34745556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peru–Bolivia border |
E1001625
|
entity |
| Predicate | hasTimezoneOnPeruSide |
P195105
|
FINISHED |
| Object | UTC−05:00 |
—
|
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−05:00 | Statement: [Peru–Bolivia border, hasTimezoneOnPeruSide, UTC−05:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimezoneOnPeruSide Context triple: [Peru–Bolivia border, hasTimezoneOnPeruSide, UTC−05:00]
-
A.
timeZoneOnMexicanSide
Indicates that the referenced time zone applies specifically to the Mexican side of a border or boundary.
-
B.
timeZoneOnSpanishSide
Indicates that the referenced time zone applies specifically to the Spanish side of a border or region.
-
C.
offsetRelativeToChileStandardTime
Indicates that a time value is expressed as an offset relative to Chile Standard Time (its base time zone).
-
D.
hasTimeZoneOnSouthAfricanSide
Indicates that the referenced entity is located in a region that uses the time zone observed on the South African side of a border or boundary.
-
E.
isWesternmostChileanTimeZone
Indicates that the referenced time zone is the one located furthest to the west within the territory of Chile.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
| PDg | Predicate description generation | batch_69fda4fe67a08190bdaa84ceabd6de6c |
completed | May 8, 2026, 8:55 a.m. |
Created at: May 3, 2026, 3:59 p.m.