Triple
T13372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Lincoln |
E268
|
entity |
| Predicate | officeEnd |
P171
|
FINISHED |
| Object | 1865-04-15 |
—
|
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: 1865-04-15 | Statement: [Abraham Lincoln, officeEnd, 1865-04-15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEnd Context triple: [Abraham Lincoln, officeEnd, 1865-04-15]
-
A.
leftOffice
chosen
Indicates that an entity ceased holding or performing the duties of a particular office or position.
-
B.
endDate
Indicates the point in time at which an event, state, or relationship stops being valid or comes to a conclusion.
-
C.
employer
Indicates a relationship where one entity hires, pays, and oversees the work of another entity.
-
D.
orderInOffice
Indicates that one entity holds a specific sequential position or rank within a defined term or period of holding an office or official role.
-
E.
endPoint
Indicates the terminal location, limit, or final state reached by an object, process, or path in a given relationship or action.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a243abb2ec8190937365e5ecec52ad |
completed | Feb. 28, 2026, 1:23 a.m. |
| PD | Predicate disambiguation | batch_69a23fe9470c8190918a6ca1df168646 |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.