Triple
T31150808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado congressional delegation |
E794064
|
entity |
| Predicate | houseDelegationMember |
P80328
|
FINISHED |
| Object | Diana DeGette |
—
|
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: Diana DeGette | Statement: [Colorado congressional delegation, houseDelegationMember, Diana DeGette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseDelegationMember Context triple: [Colorado congressional delegation, houseDelegationMember, Diana DeGette]
-
A.
memberHouse
Indicates that an entity is a member or occupant of a particular house or household.
-
B.
federalRepresentative
chosen
Indicates that one entity serves as an official representative of another entity at the federal (national) level of government.
-
C.
seatOfRepresentative
Indicates the location or institution where a representative officially holds their position or exercises their duties.
-
D.
countyRepresented
Indicates that a person or representative serves as the official representative for a particular county in a governing or organizational context.
-
E.
delegatesRepresent
Indicates that certain individuals or groups act on behalf of, and with the authority of, another party in representing their interests or decisions.
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 29, 2026, 9:06 p.m.