Triple
T34141910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arbaeen of Husayn ibn Ali |
E875741
|
entity |
| Predicate | dayCountAfterEvent |
P89697
|
FINISHED |
| Object | 40 |
—
|
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: 40 | Statement: [Arbaeen of Husayn ibn Ali, dayCountAfterEvent, 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayCountAfterEvent Context triple: [Arbaeen of Husayn ibn Ali, dayCountAfterEvent, 40]
-
A.
dayCountDependsOn
Indicates that the number of days for one element is determined or constrained by another element.
-
B.
monthsBeforeEvent
Indicates that one temporal entity occurs a specified number of months before a referenced event.
-
C.
occursNumberOfDaysBefore
Indicates that one event or time point happens a specified number of days earlier than another event or time point.
-
D.
followsAfterNumberOfDays
chosen
Indicates that one event or state occurs after another by a specified number of days.
-
E.
specialDaysCount
Indicates the number of special or designated days associated with an entity or time period.
- 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.