Triple
T32924759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayyám-i-Há |
E842235
|
entity |
| Predicate | occursBetweenMonths |
P14304
|
FINISHED |
| Object | Mulk and ‘Alá’ |
—
|
NE NERFINISHED |
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: Mulk and ‘Alá’ | Statement: [Ayyám-i-Há, occursBetweenMonths, Mulk and ‘Alá’]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursBetweenMonths Context triple: [Ayyám-i-Há, occursBetweenMonths, Mulk and ‘Alá’]
-
A.
occurredBetween
Indicates that an event or action took place within the time interval defined by two temporal boundaries.
-
B.
appliesDuringMonths
chosen
Indicates that something is valid, active, or in effect only during specific months of the year.
-
C.
chronologicallyBetween
Indicates that one event or time point occurs after a first reference point and before a second reference point in temporal order.
-
D.
currentBetween
Indicates that the current value of a quantity lies within a specified range between two boundary values.
-
E.
createdBetween
Indicates that something was created within a specified start and end time or date range.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.