Triple
T1660522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | d’Hondt method |
E35893
|
entity |
| Predicate | tendsToFavor |
P5743
|
FINISHED |
| Object | larger parties |
—
|
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: larger parties | Statement: [d’Hondt method, tendsToFavor, larger parties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tendsToFavor Context triple: [d’Hondt method, tendsToFavor, larger parties]
-
A.
favored
Indicates that one entity is preferred, supported, or given advantage over others by another entity.
-
B.
hasTendency
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
-
C.
isHeavilyWeightedToward
chosen
Indicates that something is strongly biased or disproportionately oriented in favor of one side, option, or aspect over others.
-
D.
withdrewInFavorOf
Indicates that one party retracted or gave up its position, claim, or candidacy in support of another party.
-
E.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
- F. None of above.
Provenance (3 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa994f92b0819084ee2f6a672334b9 |
completed | March 6, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69a907d2475c8190b7ec7dccd3335eb1 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.