Triple
T906815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orawa |
E19565
|
entity |
| Predicate | hasFestivityType |
P22569
|
FINISHED |
| Object | folk festivals |
—
|
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: folk festivals | Statement: [Orawa, hasFestivityType, folk festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFestivityType Context triple: [Orawa, hasFestivityType, folk festivals]
-
A.
hasFestival
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
B.
hasAssociatedFeast
Indicates that something (such as a person, event, or entity) is linked to a specific feast or celebratory religious observance.
-
C.
hasRecreationType
Indicates that an entity is associated with or offers a particular type or category of recreational activity.
-
D.
hasHolidayCustom
Indicates that there is a specific traditional practice or custom associated with a particular holiday.
-
E.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
- F. None of above. chosen
Provenance (4 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b28ff5948190982c4439eadf9d87 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b3bab5788190a62a0e23a698f7c7 |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:39 p.m.