Triple
T37051240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "War" (song) |
E917053
|
entity |
| Predicate | peakChartCountry |
P23844
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: ["War" (song), peakChartCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakChartCountry Context triple: ["War" (song), peakChartCountry, United States]
-
A.
peakChartPositionTop10CountriesCount
Indicates the number of countries in which something (e.g., a song, album, or product) has reached a top-10 position on the relevant chart.
-
B.
chartCountry
Indicates that a chart or ranking is associated with, or specific to, a particular country.
-
C.
peakChartPosition
Indicates the highest ranking or position an item has achieved on a specified chart or ranking system.
-
D.
chartPeakCountry
chosen
Indicates the country in which a work (such as a song or album) reached its highest position on a music chart.
-
E.
continentRanking
Indicates the relative position or rank of an entity compared to others within the same continent.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.