Triple
T33736145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunday of Lent |
E864418
|
entity |
| Predicate | hasNumberOfOccurrencesPerYear |
P197177
|
FINISHED |
| Object | six |
—
|
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: six | Statement: [Sunday of Lent, hasNumberOfOccurrencesPerYear, six]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfOccurrencesPerYear Context triple: [Sunday of Lent, hasNumberOfOccurrencesPerYear, six]
-
A.
numberOfReleasesPerYear
Indicates the quantity of releases that occur within a single year.
-
B.
hasNumberInYear
Indicates that a specific number is associated with or occurs within a given year.
-
C.
sampledDuringYear
Indicates that an entity was sampled or collected at some point during a specified calendar year.
-
D.
occursInYearsOfCycle
Indicates that an event or phenomenon takes place during specific years within a recurring multi-year cycle.
-
E.
hasSeasonFrequency
Indicates how often something occurs or is scheduled within a specific season.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69fe7b1b3460819081172731b52ac15b |
completed | May 9, 2026, 12:08 a.m. |
Created at: May 1, 2026, 1:44 a.m.