Triple
T34253580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 93rd Division (Provisional) |
E878810
|
entity |
| Predicate | receivedDecorationsFrom |
P61971
|
FINISHED |
| Object | French government |
—
|
NE NERFINISHED |
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: French government | Statement: [93rd Division (Provisional), receivedDecorationsFrom, French government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedDecorationsFrom Context triple: [93rd Division (Provisional), receivedDecorationsFrom, French government]
-
A.
decorationsReceivedFrom
chosen
Indicates that one entity has received decorations (such as awards, honors, or ornaments) from another entity.
-
B.
decorationsReceived
Indicates that an entity has been awarded or has obtained one or more decorations, honors, or ceremonial adornments from another entity or source.
-
C.
receivedSupportFrom
Indicates that one entity obtained help, resources, or backing from another entity.
-
D.
receivedMarkFrom
Indicates that one entity has been given or assigned a mark, grade, or score by another entity.
-
E.
receivedFor
Indicates that something was obtained, accepted, or taken into possession on behalf of or for the benefit of a specified entity.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 1:56 a.m.