Triple
T440830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifth Party System in United States politics |
E10109
|
entity |
| Predicate | approximateStartYear |
P13193
|
FINISHED |
| Object | 1932 |
—
|
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: 1932 | Statement: [Fifth Party System in United States politics, approximateStartYear, 1932]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateStartYear Context triple: [Fifth Party System in United States politics, approximateStartYear, 1932]
-
A.
beganInYear
Indicates that an event, process, or state started in a specific calendar year.
-
B.
originYear
Indicates the year in which something first originated, was created, or began.
-
C.
approximateStartCenturyBC
Indicates that an entity’s starting time or occurrence is approximately located within a specified century before the Common Era (BC).
-
D.
foundedInYearApprox
Indicates that an entity was established or came into existence around an approximate year, rather than on a precisely known date.
-
E.
discoveryYear
Indicates the calendar year in which something was first discovered or identified.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef2af84881909635ebbbb3465b1b |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddcf50c8190bfa0d1f8ee9f604a |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb9e6b0819093863959a6e5730a |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.