Triple
T32006751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic New Year |
E817289
|
entity |
| Predicate | hasNoFixedGregorianDate |
P155447
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Islamic New Year, hasNoFixedGregorianDate, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoFixedGregorianDate Context triple: [Islamic New Year, hasNoFixedGregorianDate, true]
-
A.
hasNoFixedGregorianDates
chosen
Indicates that the associated event or occurrence does not recur on the same fixed dates in the Gregorian calendar each time it happens.
-
B.
doesNotUseLeapMonths
Indicates that the referenced calendar or timekeeping system does not incorporate leap months to adjust for discrepancies between its cycle and the astronomical year.
-
C.
hasDateInGregorianCalendar
Indicates that an entity is associated with a specific date expressed using the Gregorian calendar system.
-
D.
hasDateInJulianCalendar
Indicates that an entity is associated with a specific date expressed according to the Julian calendar system.
-
E.
usesJulianCalendar
Indicates that the subject follows or is based on the Julian calendar system for dating events or timekeeping.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00d508290081909f3d5dfbb2e80c8e |
completed | May 10, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_6a00d49da4cc81909566ad286ec22292 |
completed | May 10, 2026, 6:55 p.m. |
Created at: May 1, 2026, 12:15 a.m.