Triple
T689932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distinguished Service Order |
E13368
|
entity |
| Predicate | originalCriteria |
P216
|
FINISHED |
| Object | distinguished service during war 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: distinguished service during war in the field | Statement: [Distinguished Service Order, originalCriteria, distinguished service during war in the field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCriteria Context triple: [Distinguished Service Order, originalCriteria, distinguished service during war in the field]
-
A.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
B.
primaryCriterion
Indicates that one factor is designated as the main or most important basis for a decision, judgment, or selection among alternatives.
-
C.
originalReason
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
-
D.
awardCriteria
chosen
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
-
E.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0ad379c81909003d35c63822780 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d221d38819083c0adda81f59b07 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.