Triple
T37619684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maréchalat de France |
E936029
|
entity |
| Predicate | dateOfFirstCreation |
P14243
|
FINISHED |
| Object | 13th century |
—
|
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: 13th century | Statement: [Maréchalat de France, dateOfFirstCreation, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFirstCreation Context triple: [Maréchalat de France, dateOfFirstCreation, 13th century]
-
A.
firstCreatedAt
chosen
Indicates the time or date at which an entity was initially created for the first time.
-
B.
firstCreationEndDate
Indicates the date on which the initial creation or establishment of something was completed or came to an end.
-
C.
createdAt
Indicates the date and time at which an entity was initially created or came into existence.
-
D.
currentCreationStartDate
Indicates the date and time when the current creation or production process for an entity was initiated.
-
E.
createdAtEvent
Indicates the specific event during which the entity was originally created.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: May 3, 2026, 4:18 p.m.