Triple
T19399091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inauguration of John F. Kennedy |
E485269
|
entity |
| Predicate | ordinalInaugurationNumber |
P27301
|
FINISHED |
| Object | 35 |
—
|
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: 35 | Statement: [Inauguration of John F. Kennedy, ordinalInaugurationNumber, 35]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinalInaugurationNumber Context triple: [Inauguration of John F. Kennedy, ordinalInaugurationNumber, 35]
-
A.
ordinalInOffice
Indicates the numerical order or rank of an individual’s term or tenure in a particular office or position.
-
B.
ordinalPresidentInaugurated
chosen
Indicates the ordinal position of a person in the sequence of presidents who have been officially inaugurated.
-
C.
positionInaugurated
Indicates that a person formally assumed a specific position or office at a particular point in time.
-
D.
ordinalNumber
Indicates the position or rank of an entity within an ordered sequence (e.g., first, second, third).
-
E.
inaugurationFrequency
Indicates how often inaugurations occur within a given time period or context.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62575d78881909c2cfee799859261 |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.