Triple
T21181599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star of Military Valour |
E521962
|
entity |
| Predicate | typeOfValourAward |
P1619
|
FINISHED |
| Object | wartime valour decoration |
—
|
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: wartime valour decoration | Statement: [Star of Military Valour, typeOfValourAward, wartime valour decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfValourAward Context triple: [Star of Military Valour, typeOfValourAward, wartime valour decoration]
-
A.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
-
B.
awardType
chosen
Indicates the specific category or kind of award associated with an entity or event.
-
C.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
D.
awardBodyType
Indicates the type or classification of the organization or body that grants or issues an award.
-
E.
awardForPerformerType
Indicates that an award is designated for or associated with a specific type or category of performer.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301da0ac8190a965fee7b6d845e7 |
completed | April 21, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:01 p.m.