Triple
T64663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate Select Committee on Intelligence |
E1285
|
entity |
| Predicate | hasCommitteeType |
P4423
|
FINISHED |
| Object | select committee |
—
|
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: select committee | Statement: [Senate Select Committee on Intelligence, hasCommitteeType, select committee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommitteeType Context triple: [Senate Select Committee on Intelligence, hasCommitteeType, select committee]
-
A.
hasCommittee
Indicates that an entity is associated with or overseen by a specific committee.
-
B.
hasTechnicalCommittee
Indicates that an entity is associated with or overseen by a specific technical committee.
-
C.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
D.
hasTechnicalCommittees
Indicates that an entity maintains or is associated with one or more technical committees.
-
E.
committeeMember
Indicates that an entity serves as a member of a particular committee.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2516eda54819090f5c14384d4eab1 |
completed | Feb. 28, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69a24ea5c140819080409a968c8d2ce8 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a2516d98e88190b79261bd3fcadd9b |
completed | Feb. 28, 2026, 2:22 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.