Triple
T13775131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German federal election, 1928 |
E330984
|
entity |
| Predicate | sixthLargestPartySeatsWon |
P110901
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [German federal election, 1928, sixthLargestPartySeatsWon, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sixthLargestPartySeatsWon Context triple: [German federal election, 1928, sixthLargestPartySeatsWon, 19]
-
A.
thirdLargestPartySeats
Indicates the number of seats held by the third-largest political party in a given legislative body or election outcome.
-
B.
fifthLargestParty
Indicates that the subject is the political party ranked as the fifth largest according to a specified measure such as seats, votes, or membership.
-
C.
thirdLargestPartyBySeats
Indicates that the subject is the political party holding the third-highest number of seats in a specified legislative body or election context.
-
D.
oppositionPartySeatsWon
Indicates the number of legislative seats secured by the opposition party in an election or governing body.
-
E.
fourthLargestParty
Indicates that the subject is the political party that ranks fourth in size or representation within a specified political system or election 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0238bdbc8190a946e6e5431632a5 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 10:10 p.m.