Triple
T12666234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Sunday of Easter |
E302560
|
entity |
| Predicate | hasVariableDate |
P106100
|
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: [Third Sunday of Easter, hasVariableDate, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVariableDate Context triple: [Third Sunday of Easter, hasVariableDate, true]
-
A.
hasVariableMonth
Indicates that something is associated with or occurs in a month that can change rather than being fixed.
-
B.
hasDateWith
Indicates that one entity is scheduled to go on or is engaged in a romantic or social date with another entity.
-
C.
hasBaseDate
Indicates that an entity is associated with a specific reference or starting date used as the basis for related calculations, schedules, or validity periods.
-
D.
hasPromDate
Indicates that one entity is the person who is accompanying another entity as their date to a prom event.
-
E.
hasVariable
Indicates that one entity includes, defines, or is associated with a particular variable.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96181c40481908f3e2717f5472b85 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:19 p.m.