Triple
T3110463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhath Puja |
E64936
|
entity |
| Predicate | thirdDayName |
P25566
|
FINISHED |
| Object | Sandhya Arghya |
—
|
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: Sandhya Arghya | Statement: [Chhath Puja, thirdDayName, Sandhya Arghya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdDayName Context triple: [Chhath Puja, thirdDayName, Sandhya Arghya]
-
A.
dayName
Indicates the specific name of the day of the week associated with a given date or time.
-
B.
thirdWord
Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
-
C.
namesDay
chosen
Indicates that one entity is the name assigned to a particular day (such as a weekday or holiday) associated with another entity.
-
D.
thirdGenerationName
Indicates that the object is the name or designation assigned to the third generation in a lineage or sequence associated with the subject.
-
E.
thirdTestName
Indicates that an entity is associated with the name or label of its third test in a sequence of tests.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada437c5e08190af22f6fa11cf9252 |
completed | March 8, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.