Triple
T5351774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penny Lane |
E102593
|
entity |
| Predicate | ukSinglesChartPeakPosition |
P19350
|
FINISHED |
| Object | 2 (United Kingdom) |
—
|
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: 2 (United Kingdom) | Statement: [Penny Lane, ukSinglesChartPeakPosition, 2 (United Kingdom)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ukSinglesChartPeakPosition Context triple: [Penny Lane, ukSinglesChartPeakPosition, 2 (United Kingdom)]
-
A.
peakPositionUKSinglesChart
chosen
Indicates the highest ranking position an item has reached on the UK Singles Chart.
-
B.
numberOfTop10SinglesUS
Indicates the number of singles by an entity that have reached the top 10 positions on music charts in the United States.
-
C.
chartPeakCountry
Indicates the country in which a work (such as a song or album) reached its highest position on a music chart.
-
D.
chartPositionUSHotSoulSingles
Indicates the position an item reached on the US Hot Soul Singles music chart.
-
E.
highestSinglesRanking
Indicates the relationship where a specific singles ranking represents the best (numerically highest) singles position an entity has ever achieved.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd861188ac81908ef2b1f25cc6c864 |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.