Triple
T34521434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navy E Ribbon |
E886288
|
entity |
| Predicate | isUnitEquivalentOf |
P58587
|
FINISHED |
| Object | Battle Efficiency Award |
—
|
NE NERFINISHED |
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: Battle Efficiency Award | Statement: [Navy E Ribbon, isUnitEquivalentOf, Battle Efficiency Award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUnitEquivalentOf Context triple: [Navy E Ribbon, isUnitEquivalentOf, Battle Efficiency Award]
-
A.
isAUnitOf
Indicates that one entity functions as a unit or standard measure in which the other entity is quantified or expressed.
-
B.
isBaseUnitOf
Indicates that one unit serves as the fundamental reference unit from which another unit in the same measurement system is defined or derived.
-
C.
isBaseUnitAlongWith
Indicates that one unit is considered a fundamental base unit in conjunction with another unit within the same measurement system or context.
-
D.
equivalentIn
chosen
Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
-
E.
isDivisibleUnitOf
Indicates that one unit can be evenly divided into another unit, such that the second unit is an exact multiple or fraction of the first.
- 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb317f0819089112d0a08a64c51 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.