Triple
T5566533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarvottam Yudh Seva Medal |
E145892
|
entity |
| Predicate | isGallantryAward |
P64830
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Sarvottam Yudh Seva Medal, isGallantryAward, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGallantryAward Context triple: [Sarvottam Yudh Seva Medal, isGallantryAward, false]
-
A.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
B.
militaryAwardType
Indicates the specific category or kind of military honor or decoration associated with an award.
-
C.
isMilitaryDecorationOf
Indicates that something is a military award or honor that has been conferred upon a particular person, unit, or entity.
-
D.
isCivilianAward
Indicates that an award is designated for civilians rather than military or combat-related recipients.
-
E.
wartimeAward
Indicates that an entity received an award or honor specifically in the context of wartime or military conflict.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02034fc3081908920c52a19d462e1 |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:36 p.m.