Triple
T20084091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kāṭhaka Shakha |
E500077
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Katha Shakha |
—
|
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: Katha Shakha | Statement: [Kāṭhaka Shakha, hasAlternativeName, Katha Shakha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katha Shakha Context triple: [Kāṭhaka Shakha, hasAlternativeName, Katha Shakha]
-
A.
Katha Shakha
chosen
Katha Shakha is a principal recension (branch) of the Krishna Yajurveda within the Vedic tradition of Hinduism.
-
B.
Katha
Katha is a feminine given name, most notably borne by American poet, essayist, and feminist columnist Katha Pollitt.
-
C.
Kathaka
Kathaka is an ancient Vedic shakha (branch or school) of the Krishna Yajurveda, known for its distinct recension and ritual traditions.
-
D.
Dhatukatha
Dhatukatha is a canonical text within the Theravāda Abhidhamma that analyzes and discusses the interrelations of fundamental mental and physical phenomena (dhātus).
-
E.
Sekaler Katha
Sekaler Katha is a notable literary work by Bengali writer, illustrator, and publisher Upendrakishore Ray Chowdhury, reflecting his contribution to early modern Bengali literature.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655a2d2c81908a6b8fd2f209a825 |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 3:41 p.m.