Triple
T7146166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1969 presidential inauguration of Richard Nixon |
E166573
|
entity |
| Predicate | mainCeremonyType |
P3305
|
FINISHED |
| Object | swearing-in ceremony |
—
|
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: swearing-in ceremony | Statement: [1969 presidential inauguration of Richard Nixon, mainCeremonyType, swearing-in ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCeremonyType Context triple: [1969 presidential inauguration of Richard Nixon, mainCeremonyType, swearing-in ceremony]
-
A.
ceremonyType
chosen
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
B.
isCeremonial
Indicates that something is associated with, intended for, or used in a formal ceremony or ritual rather than for ordinary or practical purposes.
-
C.
ceremonyTiming
Indicates the temporal relationship specifying when a ceremony occurs or is scheduled to occur.
-
D.
ceremonyKnownAs
Indicates that a particular ceremony is referred to or recognized by a specific name or title.
-
E.
ceremonyIncludes
Indicates that a particular ceremony contains, involves, or encompasses a specified component, activity, or element as part of its structure or proceedings.
- 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.