Triple
T2229121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 83rd United States Congress |
E48722
|
entity |
| Predicate | secondSessionStartYear |
P36357
|
FINISHED |
| Object | 1954 |
—
|
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: 1954 | Statement: [83rd United States Congress, secondSessionStartYear, 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondSessionStartYear Context triple: [83rd United States Congress, secondSessionStartYear, 1954]
-
A.
secondTermStartYear
Indicates the calendar year in which an entity’s second term in a role, office, or position begins.
-
B.
secondSessionStart
Indicates the point in time when a second or subsequent session begins.
-
C.
secondPlanStartYear
Indicates the calendar year in which a second or subsequent plan begins.
-
D.
secondGenerationStartYear
Indicates the calendar year in which the second generation of something (e.g., a product, model, or series) begins.
-
E.
hasSecondTerm
Indicates that an entity is associated with a second term in a sequence, pair, or ordered relationship.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0685b688190857a76c1043f4b92 |
completed | March 7, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69abbdadbb0c8190b3a1ede31b8acbfa |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.