Triple
T31189199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma Nishtana |
E795135
|
entity |
| Predicate | questionTheme |
P71095
|
FINISHED |
| Object | difference between this night and all other nights |
—
|
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: difference between this night and all other nights | Statement: [Ma Nishtana, questionTheme, difference between this night and all other nights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionTheme Context triple: [Ma Nishtana, questionTheme, difference between this night and all other nights]
-
A.
questionTopic
chosen
Indicates that a question is about, concerns, or is primarily focused on a particular topic or subject.
-
B.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
C.
questionPresented
Indicates that a question has been posed or displayed to an entity for consideration or response.
-
D.
questionText
Indicates the textual content of a question as it is posed or displayed.
-
E.
questionStyle
Indicates the manner or format in which a question is posed or expressed.
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:08 p.m.