Triple
T21940617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRT |
E541808
|
entity |
| Predicate | ianaTimeZoneExample |
P719
|
FINISHED |
| Object |
America/Fortaleza
America/Fortaleza is the IANA time zone identifier for Fortaleza, Brazil, which observes Brasília Time (BRT) without daylight saving time.
|
E1510053
|
NE FINISHED |
How this triple was built (4 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: America/Fortaleza | Statement: [BRT, ianaTimeZoneExample, America/Fortaleza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: America/Fortaleza Context triple: [BRT, ianaTimeZoneExample, America/Fortaleza]
-
A.
America/Bahia
America/Bahia is an IANA time zone identifier representing the local time observed in the state of Bahia in northeastern Brazil.
-
B.
America/Recife
America/Recife is the time zone used in parts of northeastern Brazil, including the city of Recife and surrounding regions.
-
C.
America/Manaus
America/Manaus is the IANA time zone identifier representing the Amazon Time zone used in Manaus, Brazil.
-
D.
America/Sao_Paulo
America/Sao_Paulo is the primary time zone used in much of southeastern Brazil, including major cities such as São Paulo and Rio de Janeiro.
-
E.
America/Rio_Branco
America/Rio_Branco is the IANA time zone identifier used for the Brazilian state of Acre and nearby regions in western Brazil.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: America/Fortaleza Triple: [BRT, ianaTimeZoneExample, America/Fortaleza]
Generated description
America/Fortaleza is the IANA time zone identifier for Fortaleza, Brazil, which observes Brasília Time (BRT) without daylight saving time.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: America/Fortaleza Target entity description: America/Fortaleza is the IANA time zone identifier for Fortaleza, Brazil, which observes Brasília Time (BRT) without daylight saving time.
-
A.
America/Bahia
America/Bahia is an IANA time zone identifier representing the local time observed in the state of Bahia in northeastern Brazil.
-
B.
America/Recife
America/Recife is the time zone used in parts of northeastern Brazil, including the city of Recife and surrounding regions.
-
C.
America/Manaus
America/Manaus is the IANA time zone identifier representing the Amazon Time zone used in Manaus, Brazil.
-
D.
America/Sao_Paulo
America/Sao_Paulo is the primary time zone used in much of southeastern Brazil, including major cities such as São Paulo and Rio de Janeiro.
-
E.
America/Rio_Branco
America/Rio_Branco is the IANA time zone identifier used for the Brazilian state of Acre and nearby regions in western Brazil.
- F. None of above. chosen
Provenance (5 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12420b1cc81909b375891aedc0979 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6700274c8190a3a1a6f76290568f |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a677f3d788190acba362aa3ff80ad |
completed | May 18, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a68244250819082094878c9001b5c |
completed | May 18, 2026, 1:15 a.m. |
Created at: April 16, 2026, 7:55 p.m.