Triple
T2884866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady |
E59480
|
entity |
| Predicate | notDefinedIn |
P23080
|
FINISHED |
| Object | most national constitutions |
—
|
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: most national constitutions | Statement: [First Lady, notDefinedIn, most national constitutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notDefinedIn Context triple: [First Lady, notDefinedIn, most national constitutions]
-
A.
doesNotDefine
chosen
Indicates that one entity does not provide a definition, specification, or determining description for another entity.
-
B.
areDefinedIn
Indicates that the referenced entities are specified, described, or formally established within a particular source, context, or scope.
-
C.
notObservedIn
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
-
D.
notSoldIn
Indicates that a product or item is unavailable for purchase within a specified market, region, or sales channel.
-
E.
doesNotSpecify
Indicates that the subject intentionally leaves some information, detail, or attribute undefined or unspecified with respect to the object.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04476588190b0db0880e14c79b5 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.