Triple
T5258789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivar |
E118767
|
entity |
| Predicate | hasNameDayInSweden |
P910
|
FINISHED |
| Object | January 31 |
—
|
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 31 | Statement: [Ivar, hasNameDayInSweden, January 31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameDayInSweden Context triple: [Ivar, hasNameDayInSweden, January 31]
-
A.
hasNameDay
chosen
Indicates that an entity is associated with a specific date on which its name is traditionally celebrated (a name day).
-
B.
nameInSwedish
Indicates that an entity is known or referred to by a particular name when expressed in the Swedish language.
-
C.
hasNameDayRelation
Indicates a relationship where a person’s name is associated with a specific name day or feast day in a calendar.
-
D.
hasNameInDanish
Indicates that an entity is associated with a specific name expressed in the Danish language.
-
E.
hasNameInNorwegian
Indicates that an entity is associated with a specific name expressed in the Norwegian language.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcced6881909bdb7ac5471a37fe |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.