Triple
T19076653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Engel |
E466921
|
entity |
| Predicate | hasHolidayContext |
P39851
|
FINISHED |
| Object | Christmas holiday |
—
|
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: Christmas holiday | Statement: [Tom Engel, hasHolidayContext, Christmas holiday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHolidayContext Context triple: [Tom Engel, hasHolidayContext, Christmas holiday]
-
A.
hasRegionalHoliday
Indicates that a particular region observes or is associated with a specific holiday.
-
B.
hasHolidayCountry
Indicates that a specific holiday is officially observed or associated with a particular country.
-
C.
hasCommonHoliday
Indicates that two entities share at least one holiday that is observed or celebrated in common.
-
D.
hasHolidayAssociation
chosen
Indicates a relationship where something is connected or related to a holiday, such as by theme, usage, or occurrence.
-
E.
hasMunicipalHoliday
Indicates that a particular place or jurisdiction observes a specific municipal holiday as part of its official local calendar.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e49c7c8190b6ce7b918086b23c |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.