Triple
T5472705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Cross of the Virtuti Militari |
E122872
|
entity |
| Predicate | awardedForToIndividuals |
P107
|
FINISHED |
| Object | individual acts of conspicuous courage in battle |
—
|
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 acts of conspicuous courage in battle | Statement: [Silver Cross of the Virtuti Militari, awardedForToIndividuals, individual acts of conspicuous courage in battle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForToIndividuals Context triple: [Silver Cross of the Virtuti Militari, awardedForToIndividuals, individual acts of conspicuous courage in battle]
-
A.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
B.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
D.
coRecipientOfAward
Indicates that two or more entities jointly received the same award.
-
E.
isIndividualOrTeamAward
Indicates that an award is given either to a single individual or collectively to a team, rather than to another type of recipient.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9230d6d88190a9ac48a4488e1754 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.