Triple
T12434498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maison de la Radio et de la Musique |
E297109
|
entity |
| Predicate | renovationEndDate |
P27501
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Maison de la Radio et de la Musique, renovationEndDate, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renovationEndDate Context triple: [Maison de la Radio et de la Musique, renovationEndDate, 2014]
-
A.
refurbishmentPlannedCompletion
Indicates the scheduled date or time by which a refurbishment activity is planned to be completed.
-
B.
renovationPeriod
Indicates the time span during which an object, structure, or entity undergoes renovation or refurbishment.
-
C.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
D.
renovationCompleted
Indicates that a renovation process for an entity has been fully finished and is no longer in progress.
-
E.
renovationYear
chosen
Indicates the year in which an entity underwent renovation or significant refurbishment.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.