Triple
T7537847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senator from New Hampshire |
E178192
|
entity |
| Predicate | hasClassSystem |
P71779
|
FINISHED |
| Object | Senate class I, II, or III (depending on seat) |
—
|
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: Senate class I, II, or III (depending on seat) | Statement: [United States Senator from New Hampshire, hasClassSystem, Senate class I, II, or III (depending on seat)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassSystem Context triple: [United States Senator from New Hampshire, hasClassSystem, Senate class I, II, or III (depending on seat)]
-
A.
hasClassGroup
Indicates that an entity belongs to or is associated with a particular class group or category.
-
B.
hasClass
Indicates that an entity belongs to, is categorized under, or is associated with a particular class or type.
-
C.
isInSystem
Indicates that one entity is located within, belongs to, or is contained by a particular system.
-
D.
hasSystemStyle
Indicates that one entity is associated with, or characterized by, a particular system-defined style of another entity.
-
E.
belongsToSystemType
chosen
Indicates that one entity is classified under, or is a member of, a particular system 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8710400819088e430c8c550577e |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:48 p.m.