Triple
T8521153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega Master System |
E201694
|
entity |
| Predicate | extendedLifetimeRegion |
P76096
|
FINISHED |
| Object | Brazil into the 2000s |
—
|
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: Brazil into the 2000s | Statement: [Sega Master System, extendedLifetimeRegion, Brazil into the 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extendedLifetimeRegion Context triple: [Sega Master System, extendedLifetimeRegion, Brazil into the 2000s]
-
A.
extendedIndefinitelyOn
Indicates that something was prolonged or continued without a specified end point in relation to something else.
-
B.
extendedFor
Indicates that something has been lengthened in duration, scope, or extent specifically for the benefit or use of another entity.
-
C.
expansionRegion
chosen
Indicates a region or area into which something (such as a structure, process, or influence) is intended or allowed to expand.
-
D.
extendedFrom
Indicates that one entity is derived by adding to or building upon the scope, content, or structure of another entity.
-
E.
extendedBy
Indicates that one entity builds upon, enlarges, or adds to the scope, functionality, or duration of another entity.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe62a490481908ee0ad4ba9a94682 |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.