Triple
T9289710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas in the United States House of Representatives |
E223485
|
entity |
| Predicate | startOfCurrentApportionment |
P87448
|
FINISHED |
| Object | 2023 |
—
|
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: 2023 | Statement: [Texas in the United States House of Representatives, startOfCurrentApportionment, 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfCurrentApportionment Context triple: [Texas in the United States House of Representatives, startOfCurrentApportionment, 2023]
-
A.
firstApportionedUnderCurrentSystem
Indicates that something was initially allocated or distributed under the rules of the current system in use.
-
B.
decadeCoveredForApportionment
Indicates that a specified decade is the time period used as the basis for determining apportionment.
-
C.
startDateAsElectoralRegion
Indicates the date on which an entity first began to function or be recognized as an electoral region.
-
D.
currentLegislatureStartYear
Indicates the calendar year in which the currently serving legislature (or legislative term) officially began.
-
E.
startTimeAsUSCongressSeat
Indicates the date and time at which an individual officially begins serving in a specific seat in the U.S. Congress.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08643a848190a8b5be1ccc0b2ef6 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:35 p.m.