Triple
T33370039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tungabhadra Pushkaram |
E854462
|
entity |
| Predicate | hasGatheringType |
P48237
|
FINISHED |
| Object | mass pilgrimage |
—
|
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: mass pilgrimage | Statement: [Tungabhadra Pushkaram, hasGatheringType, mass pilgrimage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGatheringType Context triple: [Tungabhadra Pushkaram, hasGatheringType, mass pilgrimage]
-
A.
hasCampType
Indicates that an entity is associated with or classified by a particular type or category of camp.
-
B.
hasOccasionType
chosen
Indicates that an occasion, event, or happening is classified as being of a particular type or category.
-
C.
hasFestivityType
Indicates that an event or celebration is classified as belonging to a particular type of festivity.
-
D.
hasConferenceType
Indicates that an entity is associated with or classified by a specific type or category of conference.
-
E.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:35 a.m.