Triple
T18267226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee House of Representatives |
E437514
|
entity |
| Predicate | lastCheckedPresidingOfficerDate |
P131105
|
FINISHED |
| Object | 2024 |
—
|
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: 2024 | Statement: [Tennessee House of Representatives, lastCheckedPresidingOfficerDate, 2024]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastCheckedPresidingOfficerDate Context triple: [Tennessee House of Representatives, lastCheckedPresidingOfficerDate, 2024]
-
A.
hasPresidingOfficer
Indicates that one entity serves as the presiding officer (leader or chair) over another entity, such as an organization, meeting, or body.
-
B.
lastCommissionerOrPresident
Indicates that the subject is the most recent individual to have served as commissioner or president of the specified organization or body.
-
C.
lastCongressDate
Indicates the date on which the most recent congress (formal assembly or conference) took place.
-
D.
lastRegularAppearanceDate
Indicates the date on which an entity made its most recent standard or non-special appearance.
-
E.
presidingOfficerForCount
Indicates that a particular officer has official responsibility for overseeing or presiding over a specific count (such as a charge, claim, or item) within a legal or procedural context.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7bda5c8190a5a85f3cfb7aa4ef |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.