Triple
T10267832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aerial Achievement Medal |
E240754
|
entity |
| Predicate | usedToDenote |
P68246
|
FINISHED |
| Object | subsequent awards |
—
|
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: subsequent awards | Statement: [Aerial Achievement Medal, usedToDenote, subsequent awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToDenote Context triple: [Aerial Achievement Medal, usedToDenote, subsequent awards]
-
A.
oftenUsedAsNameFor
Indicates that something frequently serves as a name or designation for another entity.
-
B.
usedToBe
Indicates that something held a particular state, role, or property in the past but no longer does in the present.
-
C.
designationUsedFor
Indicates that a particular name, label, or title is employed to refer to or identify a specific entity or role.
-
D.
denominates
chosen
Indicates that one entity serves as the official name, designation, or label for another entity.
-
E.
designationUse
Indicates how a particular designation or title is intended to be used or applied in relation to an entity.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:34 a.m.