Triple
T39035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William |
E772
|
entity |
| Predicate | hasNameDayInSomeTraditions |
P910
|
FINISHED |
| Object | January 10 |
—
|
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: January 10 | Statement: [William, hasNameDayInSomeTraditions, January 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameDayInSomeTraditions Context triple: [William, hasNameDayInSomeTraditions, January 10]
-
A.
hasNameDay
chosen
Indicates that an entity is associated with a specific date on which its name is traditionally celebrated (a name day).
-
B.
nameOf
Indicates that one entity is the name or designation of another entity.
-
C.
hasDemonym
Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
-
D.
hasEndonym
Indicates that an entity has a name or designation used by native speakers or within its own local language or community.
-
E.
majorFeast
Indicates that an event or celebration is recognized as a major religious or cultural feast of high importance.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24b4d5bd08190a3a48eb26e67768c |
completed | Feb. 28, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a24ab6141881908701106aa97e4735 |
completed | Feb. 28, 2026, 1:53 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.