Triple
T6519094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J’attendrai (recording) |
E148334
|
entity |
| Predicate | circulatedDuring |
P71372
|
FINISHED |
| Object | German occupation of France |
—
|
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: German occupation of France | Statement: [J’attendrai (recording), circulatedDuring, German occupation of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circulatedDuring Context triple: [J’attendrai (recording), circulatedDuring, German occupation of France]
-
A.
circulatedFrom
Indicates that something has moved or been distributed outward starting from a particular source or origin.
-
B.
circulatedAs
Indicates that something was distributed, shared, or passed around in the form or role specified by the related entity.
-
C.
introducedDuring
Indicates that one entity was first brought into existence, use, or awareness within the time period, event, or context specified by the other entity.
-
D.
coinsProduced
Indicates that a particular entity (such as a mint or authority) has produced or issued a specified set or quantity of coins.
-
E.
isLegalTenderSince
Indicates that something has held the status of legal tender starting from a specified point in time.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac11d0e481908103c4b51de9521e |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:44 p.m.