Triple
T5403525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States congressional apportionment |
E120835
|
entity |
| Predicate | timeBetweenCensusAndUse |
P63785
|
FINISHED |
| Object | apportionment applies to next Congress after census |
—
|
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: apportionment applies to next Congress after census | Statement: [United States congressional apportionment, timeBetweenCensusAndUse, apportionment applies to next Congress after census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeBetweenCensusAndUse Context triple: [United States congressional apportionment, timeBetweenCensusAndUse, apportionment applies to next Congress after census]
-
A.
usedSince
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
-
B.
inUseSince
Indicates that an entity has been actively in use starting from a specified point in time.
-
C.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
E.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8931302c81908afcb0f011e91f09 |
completed | March 20, 2026, 5:51 p.m. |
Created at: March 20, 2026, 2:04 p.m.