Triple
T9977718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seleucid navy |
E196373
|
entity |
| Predicate | usedPersonnelType |
P11881
|
FINISHED |
| Object | rowers |
—
|
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: rowers | Statement: [Seleucid navy, usedPersonnelType, rowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedPersonnelType Context triple: [Seleucid navy, usedPersonnelType, rowers]
-
A.
personnelType
chosen
Indicates the classification or role category assigned to a person within an organization or system.
-
B.
authorizedPersonnel
Indicates that the referenced entity is officially permitted or empowered to access, use, or perform actions within a specified system, resource, or context.
-
C.
personnel
Indicates that an entity serves as staff or workforce associated with another entity, such as an organization, project, or facility.
-
D.
applicantType
Indicates the classification or category of an applicant in relation to an application or selection process.
-
E.
usedByOrganizationType
Indicates that something is utilized or employed by organizations of a specified type.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84ef8ac8190abbe78b7611c5309 |
completed | April 2, 2026, 12:29 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:48 p.m.