Triple
T32802368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downtown |
E838929
|
entity |
| Predicate | hasChartPerformanceIn |
P76073
|
FINISHED |
| Object | Brazil |
—
|
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: Brazil | Statement: [Downtown, hasChartPerformanceIn, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChartPerformanceIn Context triple: [Downtown, hasChartPerformanceIn, Brazil]
-
A.
hasChartedIn
chosen
Indicates that something (such as a song, album, or work) has appeared on an official ranking or popularity chart within a specified context (such as a country, chart type, or time period).
-
B.
hasChart
Indicates that one entity is associated with, represented by, or documented through a chart belonging to or describing it.
-
C.
chartPerformance
Indicates how well something ranks or behaves on a chart or leaderboard over a given period.
-
D.
hasCharting
Indicates that one entity provides or supports charting or graphical data visualization capabilities for another entity.
-
E.
hasChartStatus
Indicates that an entity is associated with a particular chart-related state or condition (e.g., its current status within a chart or dashboard).
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 1, 2026, 1:15 a.m.