Triple
T6634688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer of the National Order of Merit (France) |
E150417
|
entity |
| Predicate | insigniaSuspension |
P71862
|
FINISHED |
| Object | laurel wreath |
—
|
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: laurel wreath | Statement: [Officer of the National Order of Merit (France), insigniaSuspension, laurel wreath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insigniaSuspension Context triple: [Officer of the National Order of Merit (France), insigniaSuspension, laurel wreath]
-
A.
insigniaCaption
Indicates the text that serves as a caption or explanatory label specifically for an insignia.
-
B.
insigniaName
Indicates the specific name or designation assigned to an insignia associated with an entity.
-
C.
suspensionType
Indicates the specific kind or configuration of suspension system associated with an entity (e.g., a vehicle or structure).
-
D.
insigniaUsedFor
Indicates that a particular insignia is employed or designated for a specific purpose, function, or use.
-
E.
suspension
Indicates the temporary removal or halting of a privilege, activity, or status for an entity, often as a consequence or precaution.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c30733908190980f7ffaa5c5527b |
completed | March 27, 2026, 5:48 p.m. |
Created at: March 27, 2026, 1:59 p.m.