Triple
T7146152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1969 presidential inauguration of Richard Nixon |
E166573
|
entity |
| Predicate | ordinalNumberOfPresidency |
P27301
|
FINISHED |
| Object | 37 |
—
|
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: 37 | Statement: [1969 presidential inauguration of Richard Nixon, ordinalNumberOfPresidency, 37]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinalNumberOfPresidency Context triple: [1969 presidential inauguration of Richard Nixon, ordinalNumberOfPresidency, 37]
-
A.
presidentialNumber
Indicates the ordinal position a person holds in a sequence of presidents (e.g., first, second, third president).
-
B.
ordinalPresidentInaugurated
chosen
Indicates the ordinal position of a person in the sequence of presidents who have been officially inaugurated.
-
C.
numberOfPresidents
Indicates the total count of individuals who have held the position of president for a given entity or within a specified context.
-
D.
lastPresident
Indicates that one entity is the most recent individual to have held the office of president of the other entity.
-
E.
presidentElect
Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d3c48c8190a71a61a1d50cd7da |
completed | March 27, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:46 p.m.