Triple
T2190955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nullification Crisis |
E49858
|
entity |
| Predicate | positionOfAndrewJackson |
P36645
|
FINISHED |
| Object | rejection of state nullification |
—
|
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: rejection of state nullification | Statement: [Nullification Crisis, positionOfAndrewJackson, rejection of state nullification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOfAndrewJackson Context triple: [Nullification Crisis, positionOfAndrewJackson, rejection of state nullification]
-
A.
positionInauguratedIn
Indicates that a person officially assumed a particular position or office at a specified time or event of inauguration.
-
B.
positionInaugurated
Indicates that a person formally assumed a specific position or office at a particular point in time.
-
C.
firstCongressPlace
Indicates the location where an entity’s first congress or formal assembly took place.
-
D.
firstVicePresidentResident
Indicates that the subject entity serves as the first vice president who resides in or is officially based at the object entity.
-
E.
inaugurationLocation
Indicates the place where an inauguration event occurs or is held.
- F. None of above. chosen
Provenance (4 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf3f5e008190beda3ce5d77209e0 |
completed | March 7, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbea8bd4881908f72019a5acf6174 |
completed | March 7, 2026, 5:59 a.m. |
Created at: March 4, 2026, 7:46 p.m.