Triple
T10839191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medal "For Military Merit" (Russian Federation) |
E255840
|
entity |
| Predicate | serialNumbered |
P22578
|
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: [Medal "For Military Merit" (Russian Federation), serialNumbered, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serialNumbered Context triple: [Medal "For Military Merit" (Russian Federation), serialNumbered, yes]
-
A.
serialNumber
Indicates a unique identifying code assigned to an individual item or instance within a series or batch.
-
B.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
C.
isNumbered
chosen
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
D.
hasSeriesNumber
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
E.
serialNumberColor
Indicates a relationship where a specific serial number is associated with a particular color.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d747012fa48190af06de2cfb231d5b |
completed | April 9, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.