Triple
T9289703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas in the United States House of Representatives |
E223485
|
entity |
| Predicate | apportionmentInterval |
P87447
|
FINISHED |
| Object | 10 years |
—
|
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: 10 years | Statement: [Texas in the United States House of Representatives, apportionmentInterval, 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: apportionmentInterval Context triple: [Texas in the United States House of Representatives, apportionmentInterval, 10 years]
-
A.
apportionedBy
Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
-
B.
apportionedAfter
Indicates that one entity is distributed, allocated, or divided only after another specified event, action, or allocation has occurred.
-
C.
apportionmentUnit
Indicates a relationship where something (such as a resource, cost, or quantity) is divided or allocated according to a specified unit or basis of apportionment.
-
D.
displacementPeriod
Indicates the time interval over which an entity is moved or shifted from one position or state to another.
-
E.
apportionedTo
Indicates that something has been divided and assigned in specific shares or portions to a particular recipient or target.
- 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.