Triple
T8818941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adi |
E209851
|
entity |
| Predicate | majorFestivalFunction |
P84794
|
FINISHED |
| Object | agricultural rites |
—
|
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: agricultural rites | Statement: [Adi, majorFestivalFunction, agricultural rites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorFestivalFunction Context triple: [Adi, majorFestivalFunction, agricultural rites]
-
A.
mainFestival
Indicates that an event is the primary or central festival associated with a particular context, place, or entity.
-
B.
festivalActivity
Indicates that an entity is an event, performance, or engagement that takes place as part of a festival’s organized program.
-
C.
mainFestivalDay
Indicates that a particular day is the primary or most significant day within a festival’s overall schedule.
-
D.
festivalDay
Indicates that a given day is designated as a festival or celebration day within a particular context or calendar.
-
E.
exampleFestival
Indicates that an entity is an instance or example of a particular festival event or type of festival.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600e6e2881908934cbff0ab5d6fd |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:46 p.m.