Triple
T6417811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dashashwamedh Ghat |
E127872
|
entity |
| Predicate | festivalActivity |
P70540
|
FINISHED |
| Object | crowded during Kartik Purnima |
—
|
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: crowded during Kartik Purnima | Statement: [Dashashwamedh Ghat, festivalActivity, crowded during Kartik Purnima]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: festivalActivity Context triple: [Dashashwamedh Ghat, festivalActivity, crowded during Kartik Purnima]
-
A.
festivalAttracts
Indicates that a festival draws or brings in attendees, participants, or interest toward itself.
-
B.
festivalFocus
Indicates that a festival is centered around, dedicated to, or thematically focused on a particular subject, activity, or feature.
-
C.
exampleFestival
Indicates that an entity is an instance or example of a particular festival event or type of festival.
-
D.
shareCulturalFestivals
Indicates that two or more entities participate in or observe the same cultural festivals or celebrations.
-
E.
festivalSeason
Indicates that a time period is designated or recognized as the season during which a particular festival or set of festivals takes place.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068eb6c988190b54de6182d0f490d |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623e3cd48190929b0e3cba013909 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:42 p.m.