Triple
T21597297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate seat from Pennsylvania |
E532933
|
entity |
| Predicate | canBeFilledBy |
P55392
|
FINISHED |
| Object | special election |
—
|
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: special election | Statement: [United States Senate seat from Pennsylvania, canBeFilledBy, special election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeFilledBy Context triple: [United States Senate seat from Pennsylvania, canBeFilledBy, special election]
-
A.
mayBeFilledBy
chosen
Indicates that one entity has the potential or permission to be occupied, completed, or satisfied by another entity.
-
B.
isTypicallyFilledWith
Indicates that one entity is commonly or usually occupied, loaded, or contained by another entity.
-
C.
hasFillingType
Indicates that an entity is associated with a specific type or category of filling it contains or uses.
-
D.
hasFillingSystem
Indicates that an entity is equipped with or uses a particular filling system or mechanism.
-
E.
canBeAddedTo
Indicates that one entity is capable of being combined or incorporated with another entity, typically without conflict or incompatibility.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae20c8881909c5354313d06183a |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:32 p.m.