Triple
T573340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Distinguished Service Medal |
E13708
|
entity |
| Predicate | wartimeAward |
P16188
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Army Distinguished Service Medal, wartimeAward, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wartimeAward Context triple: [Army Distinguished Service Medal, wartimeAward, yes]
-
A.
isCivilianAward
Indicates that an award is designated for civilians rather than military or combat-related recipients.
-
B.
battleHonors
Indicates that an entity has been awarded or is associated with specific honors or distinctions earned through participation in battles or military engagements.
-
C.
secondHighestCivilianAwardIn
Indicates that an entity is the second highest-ranking civilian award conferred within a specified country or jurisdiction.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4ae0988190bdd0ad428b784d85 |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c4969c819080375d08f9eec50c |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498dd579081908e02368a4c5efc8c |
completed | March 1, 2026, 7:51 p.m. |
Created at: March 1, 2026, 7:33 p.m.