Triple
T16205354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of Alabama |
E393312
|
entity |
| Predicate | officeReestablishedYear |
P122152
|
FINISHED |
| Object | 1901 |
—
|
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: 1901 | Statement: [Lieutenant Governor of Alabama, officeReestablishedYear, 1901]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeReestablishedYear Context triple: [Lieutenant Governor of Alabama, officeReestablishedYear, 1901]
-
A.
officeEstablishedWith
Indicates that an office or formal workplace was created or set up through the involvement, authorization, or collaboration of the associated entity or entities.
-
B.
establishedAt
Indicates the specific time or date at which something (such as an organization, system, or entity) was founded or brought into existence.
-
C.
officeEstablishedIn
Indicates that an office or official position was created or formally established in a specific time or place.
-
D.
officeEstablishedAs
Indicates that an office or official position was created, founded, or formally instituted as a particular role or entity.
-
E.
officeCreationYear
Indicates the calendar year in which an office was established or created.
- 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_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. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.