Triple
T25977107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1973 presidential inauguration of Richard Nixon |
E645970
|
entity |
| Predicate | hasNumberInSequenceOfNixonInaugurations |
P27301
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1973 presidential inauguration of Richard Nixon, hasNumberInSequenceOfNixonInaugurations, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberInSequenceOfNixonInaugurations Context triple: [1973 presidential inauguration of Richard Nixon, hasNumberInSequenceOfNixonInaugurations, 2]
-
A.
presidentialNumber
Indicates the ordinal position a person holds in a sequence of presidents (e.g., first, second, third president).
-
B.
inaugurationFrequency
Indicates how often inaugurations occur within a given time period or context.
-
C.
inauguralCycle
Indicates the initial or first occurrence in a recurring sequence, marking the beginning cycle of an event or process.
-
D.
ordinalPresidentInaugurated
chosen
Indicates the ordinal position of a person in the sequence of presidents who have been officially inaugurated.
-
E.
incumbentPresidentNumber
Indicates the ordinal position or sequence number of the person currently serving as president.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 22, 2026, 8:52 a.m.