Triple
T36905879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen’s Volunteer Reserves Medal |
E912774
|
entity |
| Predicate | isForGallantry |
P64830
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Queen’s Volunteer Reserves Medal, isForGallantry, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isForGallantry Context triple: [Queen’s Volunteer Reserves Medal, isForGallantry, false]
-
A.
isGallantryAward
chosen
Indicates that the subject is a formal gallantry award, i.e., an honor conferred in recognition of exceptional bravery or valor.
-
B.
describesGallantryOf
Indicates a relationship where one entity characterizes, explains, or details the gallant or brave behavior of another entity.
-
C.
isMilitaryAwardFor
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
D.
medalOfHonorFor
Indicates that one entity is awarded or associated with a Medal of Honor in recognition of actions or service performed by another 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.