Triple
T118016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Marseillaise |
E2384
|
entity |
| Predicate | dateOfCreation |
P1431
|
FINISHED |
| Object | 1792 |
—
|
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: 1792 | Statement: [La Marseillaise, dateOfCreation, 1792]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfCreation Context triple: [La Marseillaise, dateOfCreation, 1792]
-
A.
date
Indicates that two entities are engaged in or participate in a romantic or social outing or relationship with each other.
-
B.
createdIn
chosen
Indicates that one entity was brought into existence, produced, or originated within the context, location, or time frame specified by another entity.
-
C.
acquisitionDate
Indicates the date on which one entity formally acquires or takes ownership of another entity.
-
D.
dateOfSubmission
Indicates the specific date on which something (such as a document, application, or assignment) was formally submitted.
-
E.
dateObserved
Indicates the specific date on which an event, condition, or measurement was recorded or observed.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a25646d5088190a057989c32da3a90 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.