Triple
T37777632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Sao_Paulo |
E941730
|
entity |
| Predicate | zoneTabCountryCode |
P189029
|
FINISHED |
| Object | BR |
—
|
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: BR | Statement: [America/Sao_Paulo, zoneTabCountryCode, BR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneTabCountryCode Context triple: [America/Sao_Paulo, zoneTabCountryCode, BR]
-
A.
continentCode
Indicates the standardized code assigned to the continent with which an entity is associated.
-
B.
countryGridCode
Indicates the standardized grid-based code that identifies the geographic grid cell or area associated with a country.
-
C.
zoneCode
Indicates that an entity is associated with, or assigned to, a specific geographic or administrative zone identified by a code.
-
D.
ISOCode
Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
-
E.
componentCountryCode
Indicates that one entity specifies the country code associated with a component of another entity.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.