Triple
T11401665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under Secretary |
E270122
|
entity |
| Predicate | rankInDepartment |
P34138
|
FINISHED |
| Object | just below Secretary |
—
|
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: just below Secretary | Statement: [Under Secretary, rankInDepartment, just below Secretary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInDepartment Context triple: [Under Secretary, rankInDepartment, just below Secretary]
-
A.
rankWithinOrganization
chosen
Indicates the relative hierarchical position or level an entity holds within a specific organization.
-
B.
basedInDepartment
Indicates that an entity operates or has its primary affiliation within a specific department.
-
C.
worksInDepartment
Indicates that an entity is employed in and performs their job duties within a particular department.
-
D.
rankComparedTo
Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
-
E.
heightRankWithinStructure
Indicates the relative ordering of an entity’s height compared to other entities within the same structure.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.