Triple
T19698646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitra Paksha |
E473033
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mahalaya Paksha |
—
|
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: Mahalaya Paksha | Statement: [Pitra Paksha, alsoKnownAs, Mahalaya Paksha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahalaya Paksha Context triple: [Pitra Paksha, alsoKnownAs, Mahalaya Paksha]
-
A.
Pitra Paksha
chosen
Pitra Paksha is a Hindu lunar period dedicated to performing rituals and offerings for the souls of deceased ancestors.
-
B.
Paryushana
Paryushana is one of the most important Jain religious observances, marked by intense fasting, prayer, self-discipline, and reflection on nonviolence and forgiveness.
-
C.
Mahalaya Amavasya
Mahalaya Amavasya is a significant Hindu observance marking the new moon day dedicated to ancestral rites and offerings, especially in the lead-up to the Durga Puja festival.
-
D.
Ashramavasika Parva
Ashramavasika Parva is a book of the Indian epic Mahabharata that narrates the later life and forest-dwelling retirement of Dhritarashtra, Gandhari, and Kunti.
-
E.
Bhogi
Bhogi is the first day of the multi-day harvest festival around Makar Sankranti in South India, marked by discarding old possessions, lighting bonfires, and celebrating new beginnings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b426608190a46abec3652a6ca0 |
completed | April 20, 2026, 3:13 p.m. |
Created at: April 10, 2026, 1:46 p.m.