Triple
T1205543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Medal |
E25878
|
entity |
| Predicate | typeOfGallantryAward |
P4123
|
FINISHED |
| Object | other ranks gallantry 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: other ranks gallantry decoration | Statement: [Military Medal, typeOfGallantryAward, other ranks gallantry decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfGallantryAward Context triple: [Military Medal, typeOfGallantryAward, other ranks gallantry decoration]
-
A.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
B.
wartimeAward
Indicates that an entity received an award or honor specifically in the context of wartime or military conflict.
-
C.
peacetimeAward
Indicates that an award or honor is given during a period of peace rather than during wartime or active conflict.
-
D.
honourType
chosen
Indicates the specific category or classification of an honour or award associated with an entity.
-
E.
isCivilianAward
Indicates that an award is designated for civilians rather than military or combat-related recipients.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc0f8d08190b340012a9eb26275 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.