Triple
T8240356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezeiza |
E192518
|
entity |
| Predicate | timeZone |
P109
|
FINISHED |
| Object | Argentina Time |
E211527
|
NE 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: Argentina Time | Statement: [Ezeiza, timeZone, Argentina Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argentina Time Context triple: [Ezeiza, timeZone, Argentina Time]
-
A.
Argentina Time
chosen
Argentina Time is the standard time zone used throughout Argentina, corresponding to UTC−3 without daylight saving time.
-
B.
Argentina
Argentina is a large South American nation known for its diverse landscapes from the Andes to the Pampas, its vibrant culture including tango and football, and its capital city Buenos Aires.
-
C.
Salto, Argentina
Salto, Argentina is a city in the Buenos Aires Province known for its agricultural economy and location along the Salto River.
-
D.
Bolivia Time
Bolivia Time is the standard time zone used throughout Bolivia, corresponding to UTC−4 with no daylight saving time.
-
E.
southern Argentina
Southern Argentina is a sparsely populated region of Argentina characterized by its Patagonian landscapes, cold climate, and diverse wildlife.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783e13648190abf34eb8c244ea17 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd350f57d48190ae2f24d136bb3eee |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:47 p.m.