Triple
T9791531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USSF enlisted rank structure |
E237617
|
entity |
| Predicate | E-1RankTitle |
P38167
|
FINISHED |
| Object | Specialist 1 |
—
|
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: Specialist 1 | Statement: [USSF enlisted rank structure, E-1RankTitle, Specialist 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: E-1RankTitle Context triple: [USSF enlisted rank structure, E-1RankTitle, Specialist 1]
-
A.
titleOrRole
chosen
Indicates that one entity serves as the title, position, or role held or described by another entity.
-
B.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
C.
officeHolderRankSometimes
Indicates that an office holder’s rank or level within a position can vary or apply only in certain situations or periods.
-
D.
holderFullTitle
Indicates that one entity is the complete, formal title or designation held by another entity.
-
E.
academicTitleOf
Indicates that one entity is the academic title or rank held by another entity.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda3456bac819097afb20ce9081dd7 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.