Triple
T467989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel |
E8490
|
entity |
| Predicate | hasNameDayInCountry |
P8953
|
FINISHED |
| Object | various countries in Christian tradition |
—
|
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: various countries in Christian tradition | Statement: [Gabriel, hasNameDayInCountry, various countries in Christian tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameDayInCountry Context triple: [Gabriel, hasNameDayInCountry, various countries in Christian tradition]
-
A.
hasNameDay
Indicates that an entity is associated with a specific date on which its name is traditionally celebrated (a name day).
-
B.
nameDayRegion
chosen
Indicates the region or geographic area in which a particular name day is observed or recognized.
-
C.
isCelebratedIn
Indicates that an event, person, or occasion is honored, observed, or commemorated within a particular place, time, or context.
-
D.
nationalDayAlsoCalled
Indicates that an alternative name or title is used to refer to the same national day.
-
E.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd9bea081909ee782840f3da12b |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edebb3988190907992a584b4e260 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.