Triple
T19152885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First inauguration of Abraham Lincoln |
E468852
|
entity |
| Predicate | ordinalNumberOfPresident |
P27301
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [First inauguration of Abraham Lincoln, ordinalNumberOfPresident, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinalNumberOfPresident Context triple: [First inauguration of Abraham Lincoln, ordinalNumberOfPresident, 16]
-
A.
presidentialNumber
Indicates the ordinal position a person holds in a sequence of presidents (e.g., first, second, third president).
-
B.
numberOfPresidents
Indicates the total count of individuals who have held the position of president for a given entity or within a specified context.
-
C.
ordinalPresidentInaugurated
chosen
Indicates the ordinal position of a person in the sequence of presidents who have been officially inaugurated.
-
D.
ordinalNumberAsChiefJustice
Indicates the specific numerical order in which an individual has served in the role of Chief Justice.
-
E.
lastPresident
Indicates that one entity is the most recent individual to have held the office of president of the other entity.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb7575c8190b52a9d2bde5ac288 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.