Triple
T4721441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General of the Air Force |
E104774
|
entity |
| Predicate | comparableInternationalRank |
P59024
|
FINISHED |
| Object | Field Marshal (various countries) |
—
|
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: Field Marshal (various countries) | Statement: [General of the Air Force, comparableInternationalRank, Field Marshal (various countries)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparableInternationalRank Context triple: [General of the Air Force, comparableInternationalRank, Field Marshal (various countries)]
-
A.
rankingInCountry
Indicates the position or level an entity holds within an ordered list specific to a particular country.
-
B.
wealthRanking
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
C.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
D.
capacityRankInWorld
Indicates the relative position or ranking of an entity’s capacity compared to all similar entities worldwide.
-
E.
standardOfLivingRank
Indicates the relative position or ranking of an entity based on its standard of living compared to others.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:18 p.m.