Triple
T7860065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Palmeiro |
E182471
|
entity |
| Predicate | congressionalTestimonyYear |
P79421
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Rafael Palmeiro, congressionalTestimonyYear, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: congressionalTestimonyYear Context triple: [Rafael Palmeiro, congressionalTestimonyYear, 2005]
-
A.
congressionalApprovalYear
Indicates the year in which a given item, action, or measure received formal approval by a legislative congress.
-
B.
representedInCongressSince
Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
-
C.
impeachmentYear
Indicates the year in which an entity (typically a public official) was formally impeached.
-
D.
representedInCongressBy
Indicates that one entity serves as the official congressional representative (e.g., legislator) for another entity (such as a person, group, or geographic area).
-
E.
lastCongressDate
Indicates the date on which the most recent congress (formal assembly or conference) took place.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36bb6ca4819098bc00739e07cfc8 |
completed | March 31, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:53 p.m.