Triple
T21768116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Florida |
E537348
|
entity |
| Predicate | hasProtocolRole |
P145882
|
FINISHED |
| Object | hosting visiting dignitaries |
—
|
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: hosting visiting dignitaries | Statement: [First Lady of Florida, hasProtocolRole, hosting visiting dignitaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtocolRole Context triple: [First Lady of Florida, hasProtocolRole, hosting visiting dignitaries]
-
A.
hasProtocol
Indicates that an entity uses, follows, or is governed by a specified protocol or set of procedural rules.
-
B.
roleInProtocolStack
Indicates the specific function or position an entity occupies within a layered communication or protocol stack.
-
C.
hasPortRole
Indicates that an entity participates in a port with a specified functional or operational role.
-
D.
hasProtocolStatus
Indicates that an entity is associated with a particular protocol-related state or condition it currently holds.
-
E.
hasFlagProtocol
Indicates that an entity is associated with, governed by, or operates under a specific flag protocol or set of flag-related rules.
- F. None of above. chosen
Provenance (4 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ab57808190b9af6d8f0ead1051 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.