Triple
T5623750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Because You Loved Me |
E147669
|
entity |
| Predicate | chartPositionBelgiumFlanders |
P65482
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Because You Loved Me, chartPositionBelgiumFlanders, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionBelgiumFlanders Context triple: [Because You Loved Me, chartPositionBelgiumFlanders, 1]
-
A.
otherRegionsOfBelgium
Indicates that the related entities are regions of Belgium that are distinct from a specified primary Belgian region.
-
B.
chartPositionSwitzerland
Indicates the position or ranking that something holds on a music or sales chart specifically in Switzerland.
-
C.
passengerTrafficRankInBelgium
Indicates the relative position of an entity in terms of passenger traffic volume compared to other entities within Belgium.
-
D.
chartPositionCanada
Indicates the position or ranking of something on a chart specifically within Canada.
-
E.
chartPositionSweden
Indicates the position or ranking something holds on a music or sales chart specifically in Sweden.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02214b4948190b71a9f59499092f6 |
completed | March 22, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f40df64819089a659ea00a835ef |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:40 p.m.