Triple
T34816162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magha Mela |
E1003641
|
entity |
| Predicate | hasSpecialBathingDays |
P196998
|
FINISHED |
| Object | Paush Purnima |
—
|
NE NERFINISHED |
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: Paush Purnima | Statement: [Magha Mela, hasSpecialBathingDays, Paush Purnima]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecialBathingDays Context triple: [Magha Mela, hasSpecialBathingDays, Paush Purnima]
-
A.
hasBathingSeason
Indicates that there is a specific, recurring period of time during which bathing (e.g., swimming or water-based recreation) is permitted, suitable, or customary.
-
B.
hasBathhouse
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
C.
hasSpecialIndulgence
Indicates that one entity grants or possesses a particular privilege, exemption, or favor specifically afforded to another entity.
-
D.
hasOceanBaths
Indicates that a place or location contains or is equipped with ocean baths—man-made seawater pools or bathing facilities built along the coastline.
-
E.
hasSpaSpecialization
Indicates that an entity (such as a professional or facility) specializes in or offers specific spa-related services or treatments.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
| PDg | Predicate description generation | batch_69fe72db8810819089e397961b8ead7a |
completed | May 8, 2026, 11:33 p.m. |
Created at: May 3, 2026, 3:59 p.m.