Triple
T15045091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La La La |
E379201
|
entity |
| Predicate | chartPositionHungary |
P116523
|
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, chartPositionHungary, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionHungary Context triple: [La La La, chartPositionHungary, 1]
-
A.
chartPositionAustria
Indicates the position or ranking that something holds on a music or sales chart specifically in Austria.
-
B.
chartPositionFinland
Indicates the ranking or position something holds on a music or performance chart specifically in Finland.
-
C.
chartPositionWestGermany
Indicates the position or ranking something achieved on music charts specifically within West Germany.
-
D.
resultInHungary
Indicates that an action, event, or process leads to an outcome that occurs in or pertains specifically to Hungary.
-
E.
chartPositionSwitzerland
Indicates the position or ranking that something holds on a music or sales chart specifically in Switzerland.
- 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.