Triple
T652352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nisan |
E11370
|
entity |
| Predicate | commandedAsFirstMonthIn |
P16937
|
FINISHED |
| Object | Exodus 12:2 |
—
|
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: Exodus 12:2 | Statement: [Nisan, commandedAsFirstMonthIn, Exodus 12:2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandedAsFirstMonthIn Context triple: [Nisan, commandedAsFirstMonthIn, Exodus 12:2]
-
A.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
B.
hasMonth
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
C.
firstQuarter
Indicates that an event, state, or condition occurs during the first quarter of a defined time period (such as a year or fiscal year).
-
D.
typicalMonthOfOccurrence
Indicates the month in which something most commonly or typically occurs.
-
E.
firstQuarterRepresents
Indicates that the first quarter (Q1) is used as a representative or reference period/value for something, such as performance, measurement, or categorization.
- 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_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. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.