Triple
T21940632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRT |
E541808
|
entity |
| Predicate | contrastsWith |
P278
|
FINISHED |
| Object | AMT (Amazon Time) |
—
|
NE NERFINISHED |
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: AMT (Amazon Time) | Statement: [BRT, contrastsWith, AMT (Amazon Time)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMT (Amazon Time) Context triple: [BRT, contrastsWith, AMT (Amazon Time)]
-
A.
Amazon Time (AMT)
chosen
Amazon Time (AMT) is a Brazilian time zone used in parts of the Amazon region, including the city of Manaus.
-
B.
AMT
AMT is the National Rail station code for Aldermaston railway station in Berkshire, England.
-
C.
AMT
AMT is the stock ticker symbol under which the British electronics company Amstrad was publicly traded.
-
D.
AMT
AMT is the standard time zone used in Armenia, corresponding to UTC+4 hours.
-
E.
AMF
AMF is a core 5G network function responsible for managing user access, registration, mobility, and connection handling between devices and the mobile network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 7:55 p.m.