Triple
T17120319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia's 11th congressional district |
E415445
|
entity |
| Predicate | hasRepresentationStartYearForBarryLoudermilk |
P41760
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Georgia's 11th congressional district, hasRepresentationStartYearForBarryLoudermilk, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRepresentationStartYearForBarryLoudermilk Context triple: [Georgia's 11th congressional district, hasRepresentationStartYearForBarryLoudermilk, 2015]
-
A.
congressionalTestimonyYear
Indicates the year in which a congressional testimony took place or was given.
-
B.
electedPresidentBirthYear
Indicates the year in which the person who was elected president was born.
-
C.
representedInCongressSince
chosen
Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
-
D.
approximateInaugurationYear
Indicates the estimated or roughly known year in which an inauguration event took place.
-
E.
firstMPStartYear
Indicates the year in which an individual first began serving as a Member of Parliament.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8092b548190b45c1695be47edc2 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:36 a.m.