Triple
T33772327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Give a Little Love Back to the World |
E865411
|
entity |
| Predicate | countryOfCharting |
P202952
|
FINISHED |
| Object | United Kingdom |
—
|
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 Kingdom | Statement: [Give a Little Love Back to the World, countryOfCharting, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfCharting Context triple: [Give a Little Love Back to the World, countryOfCharting, United Kingdom]
-
A.
recordCountry
Indicates that an entity (such as a record or event) is associated with or originates from a specific country.
-
B.
countryOfShow
Indicates that a show is associated with, produced in, or originates from a particular country.
-
C.
countrySince
Indicates that an entity has held the status of a country (or has been recognized as such) starting from a specified point in time.
-
D.
creationCountry
Indicates the country in which an entity was originally created, produced, or brought into existence.
-
E.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
- F. None of above. chosen
Provenance (4 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00d508290081909f3d5dfbb2e80c8e |
completed | May 10, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_6a00d49da4cc81909566ad286ec22292 |
completed | May 10, 2026, 6:55 p.m. |
| PDg | Predicate description generation | batch_6a00d5073e188190b09916119a9c032d |
completed | May 10, 2026, 6:57 p.m. |
Created at: May 1, 2026, 1:45 a.m.