Triple
T37778304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Município de Santa Maria de Jetibá |
E941749
|
entity |
| Predicate | fusoHorário |
P179309
|
FINISHED |
| Object | UTC−03:00 |
—
|
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−03:00 | Statement: [Município de Santa Maria de Jetibá, fusoHorário, UTC−03:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fusoHorário Context triple: [Município de Santa Maria de Jetibá, fusoHorário, UTC−03:00]
-
A.
timeZonePractice
Indicates that an entity conducts activities or operations according to a particular time zone or set of time zone rules.
-
B.
zoneEffect
Indicates an effect or influence that applies within a specific spatial or contextual zone.
-
C.
isThreeQuartersOfAnHourAheadOf
Indicates that one entity’s time occurs exactly 45 minutes later than the other entity’s time.
-
D.
часовойПояс
chosen
Indicates a relationship where an entity is associated with a specific time zone in which it is located or operates.
-
E.
countryMainlandTimeDifference
Indicates the time difference between a country’s mainland and another referenced region or standard time.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbaf45bd40819090879114ec90db3e |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.