Triple
T158941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madam Secretary |
E3237
|
entity |
| Predicate | partOfProtocol |
P3331
|
FINISHED |
| Object | United States military protocol |
—
|
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: United States military protocol | Statement: [Madam Secretary, partOfProtocol, United States military protocol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfProtocol Context triple: [Madam Secretary, partOfProtocol, United States military protocol]
-
A.
protocol
Indicates that one entity defines or follows a specific set of rules or procedures governing how it interacts or communicates with another entity.
-
B.
usedInProtocol
chosen
Indicates that something (e.g., a method, component, or resource) is employed as part of the steps or structure of a specific protocol.
-
C.
partOfProcess
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
D.
partOfSystem
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
E.
protocolNumber
Indicates the specific identifying number assigned to a protocol that governs or documents an interaction, process, or agreement between entities.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2583169a0819081b658882e5bc452 |
completed | Feb. 28, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69a25660c2a48190b4174d5e6da3cb9d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.