Triple
T6878562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oath of office of the President of the United States |
E158732
|
entity |
| Predicate | firstTakenOn |
P45365
|
FINISHED |
| Object | April 30, 1789 |
—
|
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: April 30, 1789 | Statement: [Oath of office of the President of the United States, firstTakenOn, April 30, 1789]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTakenOn Context triple: [Oath of office of the President of the United States, firstTakenOn, April 30, 1789]
-
A.
firstUsedAt
Indicates the time or place at which something was initially used or put into operation.
-
B.
firstReachedDate
Indicates the date on which a particular entity first achieved, accessed, or arrived at a specified state, location, or milestone.
-
C.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
-
D.
firstPerformedOn
chosen
Indicates the date or occasion on which an action, event, or performance was carried out for the first time on a particular subject or object.
-
E.
firstIntroductionDate
Indicates the date on which an entity was first introduced or presented for the first time.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e498bc81908b2fbe0c6a8b95b7 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:22 p.m.