Triple
T201827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Cross |
E4521
|
entity |
| Predicate | decorates |
P4472
|
FINISHED |
| Object | acts of bravery in the field |
—
|
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: acts of bravery in the field | Statement: [Military Cross, decorates, acts of bravery in the field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decorates Context triple: [Military Cross, decorates, acts of bravery in the field]
-
A.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
B.
decoratedFor
chosen
Indicates that an entity has received a decoration, award, or honor in recognition of a specific action, service, or achievement.
-
C.
typeOfDecoration
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
-
D.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
E.
complements
Indicates that one entity enhances, completes, or improves another by providing qualities or functions that fit well together.
- 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_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. |
Created at: Feb. 28, 2026, 2:51 a.m.