Triple
T16205353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of Alabama |
E393312
|
entity |
| Predicate | officeAbolishedYear |
P3903
|
FINISHED |
| Object | 1875 |
—
|
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: 1875 | Statement: [Lieutenant Governor of Alabama, officeAbolishedYear, 1875]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeAbolishedYear Context triple: [Lieutenant Governor of Alabama, officeAbolishedYear, 1875]
-
A.
officeAbolishedDeFacto
Indicates that an office or position has effectively ceased to function or exist in practice, even if it has not been formally or legally abolished.
-
B.
dateAbolished
chosen
Indicates the date on which something (such as an institution, law, practice, or position) was officially ended or abolished.
-
C.
combinedOfficeExistedUntil
Indicates that a merged or joint office or position remained in existence up to a specified end time or date.
-
D.
decommissionedDate
Indicates the date on which an entity was formally taken out of service or retired from active use.
-
E.
exitYear
Indicates the year in which an entity leaves, finishes, or ceases its association with another entity or context.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270f047c819084645da27759a3d2 |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.