Triple
T28861447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connecticut congressional delegation |
E728873
|
entity |
| Predicate | hasSubDelegation |
P194071
|
FINISHED |
| Object | Connecticut Senate delegation |
—
|
NE NERFINISHED |
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: Connecticut Senate delegation | Statement: [Connecticut congressional delegation, hasSubDelegation, Connecticut Senate delegation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubDelegation Context triple: [Connecticut congressional delegation, hasSubDelegation, Connecticut Senate delegation]
-
A.
hasDelegations
Indicates that an entity has assigned or transferred certain responsibilities, authority, or tasks to one or more other entities.
-
B.
hasDelegate
Indicates that one entity has another entity assigned or authorized to act on its behalf as a delegate.
-
C.
hasSmallDelegations
Indicates that an entity maintains or is associated with delegations that are limited in size or scope.
-
D.
hasDelegationName
Indicates that an entity is associated with a specific delegation and records the name assigned to that delegation.
-
E.
hasRelegationTo
Indicates that an entity is demoted or moved down to a lower level, tier, or division within a hierarchical system.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
| PDg | Predicate description generation | batch_69fd5f2903a48190ac4b718bff99c6cf |
completed | May 8, 2026, 3:57 a.m. |
Created at: April 28, 2026, 6:47 a.m.