Triple
T18148051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Undone |
E434436
|
entity |
| Predicate | chartedIn |
P19348
|
FINISHED |
| Object | Swiss Singles Chart |
—
|
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: Swiss Singles Chart | Statement: [Come Undone, chartedIn, Swiss Singles Chart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swiss Singles Chart Context triple: [Come Undone, chartedIn, Swiss Singles Chart]
-
A.
Swiss Singles Chart
chosen
The Swiss Singles Chart is Switzerland’s official ranking of the most popular singles, typically based on sales and streaming data.
-
B.
German Singles Chart
The German Singles Chart is the official weekly ranking of the most popular singles in Germany, based on sales and streaming data.
-
C.
SWISS
SWISS is the callsign used by Swiss International Air Lines, the flag carrier airline of Switzerland.
-
D.
Swiss
Swiss refers to something or someone from Switzerland, a central European country known for its neutrality, multilingual culture, and high standard of living.
-
E.
Deutschschweiz
Deutschschweiz is the predominantly German-speaking region of Switzerland, encompassing major cities like Zurich, Basel, and Bern and forming the country's largest linguistic and cultural area.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de360ae88190abe1ed13243e9924 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.