Triple
T201854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croix de Guerre |
E4522
|
entity |
| Predicate | canBeAwardedTo |
P8260
|
FINISHED |
| Object | individual soldiers |
—
|
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: individual soldiers | Statement: [Croix de Guerre, canBeAwardedTo, individual soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAwardedTo Context triple: [Croix de Guerre, canBeAwardedTo, individual soldiers]
-
A.
awardsQualificationTo
Indicates that one entity grants or confers a qualification, certification, or credential to another entity.
-
B.
canBeAwardedMultipleTimes
Indicates that the associated award, honor, or recognition may be granted to the same recipient on more than one occasion.
-
C.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
D.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
E.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b4a0d448190a6fa6aeb30dc7e13 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c2bda788190bcfc0bc94686f9e0 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.