Triple
T17061267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupao |
E413963
|
entity |
| Predicate | hasLocalHolidayType |
P31755
|
FINISHED |
| Object | municipal fiesta |
—
|
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: municipal fiesta | Statement: [Lupao, hasLocalHolidayType, municipal fiesta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalHolidayType Context triple: [Lupao, hasLocalHolidayType, municipal fiesta]
-
A.
hasRegionalHoliday
Indicates that a particular region observes or is associated with a specific holiday.
-
B.
hasMunicipalHoliday
chosen
Indicates that a particular place or jurisdiction observes a specific municipal holiday as part of its official local calendar.
-
C.
hasCommonHoliday
Indicates that two entities share at least one holiday that is observed or celebrated in common.
-
D.
hasHolidayCountry
Indicates that a specific holiday is officially observed or associated with a particular country.
-
E.
hasHolidayAssociation
Indicates a relationship where something is connected or related to a holiday, such as by theme, usage, or occurrence.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7dea7481909e3e0bc836d27336 |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.