Triple
T20071917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganga Sagar Mela |
E499757
|
entity |
| Predicate | typeOfBathingSite |
P138591
|
FINISHED |
| Object | tirtha (sacred ford) |
—
|
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: tirtha (sacred ford) | Statement: [Ganga Sagar Mela, typeOfBathingSite, tirtha (sacred ford)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBathingSite Context triple: [Ganga Sagar Mela, typeOfBathingSite, tirtha (sacred ford)]
-
A.
hasBathhouse
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
B.
typicalBathType
Indicates the usual or most common type of bath associated with an entity, such as a property, room, or accommodation.
-
C.
hasAblutionFacilities
Indicates that an entity provides or is equipped with facilities for performing ablution or ritual washing.
-
D.
showerType
Indicates the specific kind or category of shower associated with an entity (e.g., walk-in, bathtub-shower combo, outdoor shower).
-
E.
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.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66438633481908710907c48806499 |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:40 p.m.