Triple
T6793163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard S. Ewell |
E155984
|
entity |
| Predicate | classRankAtUSMA |
P73023
|
FINISHED |
| Object | 13th of 42 |
—
|
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: 13th of 42 | Statement: [Richard S. Ewell, classRankAtUSMA, 13th of 42]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classRankAtUSMA Context triple: [Richard S. Ewell, classRankAtUSMA, 13th of 42]
-
A.
containsMilitaryAcademy
Indicates that one entity includes or hosts a military academy within its boundaries or domain.
-
B.
militaryRankOfPrecedence
Indicates the relative seniority or priority order of a military rank compared to other ranks.
-
C.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
D.
militaryRankEligibility
Indicates that one entity is qualified or permitted to hold, attain, or be considered for a specified military rank.
-
E.
isMilitarySchool
Indicates that an educational institution functions as a military school, operating under military principles, structure, or training programs.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2af6f908190809e39b73894e513 |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1b0d2a48190b249dcc671b9b5e4 |
completed | March 27, 2026, 6:51 p.m. |
Created at: March 27, 2026, 2:15 p.m.