Triple
T652346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nisan |
E11370
|
entity |
| Predicate | civilSignificance |
P428
|
FINISHED |
| Object | seventh month of the Hebrew civil year |
—
|
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: seventh month of the Hebrew civil year | Statement: [Nisan, civilSignificance, seventh month of the Hebrew civil year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilSignificance Context triple: [Nisan, civilSignificance, seventh month of the Hebrew civil year]
-
A.
legalSignificance
Indicates that something has recognized importance, effect, or consequence within a legal context or system.
-
B.
significance
chosen
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
C.
dateSignificance
Indicates the specific importance, meaning, or notable role that a particular date holds within a given context or relationship.
-
D.
typeOfSignificance
Indicates that one entity specifies the nature or category of importance, relevance, or significance that another entity possesses.
-
E.
isCulturalSignificance
Indicates that something holds notable meaning, value, or influence within a particular culture or cultural context.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f35acb08190a3a8248023ce07f9 |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.