Triple
T1075104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navy Cross |
E23817
|
entity |
| Predicate | hasMultipleAwardsIndicatedBy |
P23624
|
FINISHED |
| Object | gold stars on the ribbon |
—
|
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: gold stars on the ribbon | Statement: [Navy Cross, hasMultipleAwardsIndicatedBy, gold stars on the ribbon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleAwardsIndicatedBy Context triple: [Navy Cross, hasMultipleAwardsIndicatedBy, gold stars on the ribbon]
-
A.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
B.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
C.
relatedAward
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
D.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
E.
isMajorAwardIn
Indicates that an award is considered a major or highly significant award within a specified context, such as a field, event, or organization.
- F. None of above. chosen
Provenance (4 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92e480c81909a848b48c196a293 |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b73ba8208190be7f3cef8c18689b |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b80f0fb08190a19a50e38ae8f16c |
completed | March 1, 2026, 10:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.