Triple
T6535190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenery Day |
E152341
|
entity |
| Predicate | dateInGregorianCalendar |
P70408
|
FINISHED |
| Object | May 4 |
—
|
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: May 4 | Statement: [Greenery Day, dateInGregorianCalendar, May 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateInGregorianCalendar Context triple: [Greenery Day, dateInGregorianCalendar, May 4]
-
A.
dateRelativeToGregorian
Indicates how a given date is positioned or expressed in relation to the standard Gregorian calendar date.
-
B.
hasDateInGregorianCalendar
chosen
Indicates that an entity is associated with a specific date expressed using the Gregorian calendar system.
-
C.
yearInGregorianCalendar
Indicates that a specified year is measured according to the Gregorian calendar system.
-
D.
positionInGregorianCalendar
Indicates the specific placement or ordering of a time-related entity within the structure of the Gregorian calendar.
-
E.
hasDateInJulianCalendar
Indicates that an entity is associated with a specific date expressed according to the Julian calendar system.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adc05da88190b402085954cec8e0 |
completed | March 27, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69c68abd9c7c819099e4fe8097cd1b28 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:46 p.m.