Triple
T15045090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La La La |
E379201
|
entity |
| Predicate | chartPositionBulgaria |
P116522
|
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: [La La La, chartPositionBulgaria, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionBulgaria Context triple: [La La La, chartPositionBulgaria, 1]
-
A.
chartPositionAustria
Indicates the position or ranking that something holds on a music or sales chart specifically in Austria.
-
B.
chartPositionUnitedKingdom
Indicates the position or rank something holds on a music or sales chart specifically within the United Kingdom.
-
C.
chartPositionSweden
Indicates the position or ranking something holds on a music or sales chart specifically in Sweden.
-
D.
chartPosition
Indicates the ranking or placement of an item within an ordered chart or list at a specific point in time.
-
E.
distanceFromSofia
Indicates the spatial distance between a given entity and the city of Sofia.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 3 a.m.