Triple
T426336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Associate Attorney General |
E9614
|
entity |
| Predicate | isOfficeIn |
P11900
|
FINISHED |
| Object | executive branch of the United States government |
—
|
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: executive branch of the United States government | Statement: [United States Associate Attorney General, isOfficeIn, executive branch of the United States government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOfficeIn Context triple: [United States Associate Attorney General, isOfficeIn, executive branch of the United States government]
-
A.
includedOffice
chosen
Indicates that one office is contained within, or forms part of, another office or organizational unit.
-
B.
hasOfficeType
Indicates that an entity’s office is classified as a specific type or category of office.
-
C.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
-
D.
establishedOffice
Indicates that an entity created or set up an official office or place of operation.
-
E.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eed691c4819092b7e57306114bbc |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd6736c81909a6ca549f77b4345 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.