Triple
T23352180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uttara-bhaga |
E592943
|
entity |
| Predicate | hasCounterpart |
P6587
|
FINISHED |
| Object | Purva-bhaga |
—
|
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: Purva-bhaga | Statement: [Uttara-bhaga, hasCounterpart, Purva-bhaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Purva-bhaga Context triple: [Uttara-bhaga, hasCounterpart, Purva-bhaga]
-
A.
Purva-bhaga
chosen
Purva-bhaga is the first major section of the Linga Purana, a Hindu scripture focused on the worship and mythology of Shiva.
-
B.
Purva-khanda
Purva-khanda is the opening section of the Garuda Purana, containing foundational teachings on cosmology, ethics, and spiritual practice in Hindu tradition.
-
C.
Uttara-bhaga
Uttara-bhaga is the later (or northern) section of the Linga Purana, a major Sanskrit text of Hinduism focused on the worship and mythology of Shiva.
-
D.
Paschim Bardhaman
Paschim Bardhaman is a district in the Indian state of West Bengal known for its industrial cities and mining and manufacturing activities.
-
E.
Uttara Patha
Uttara Patha was an ancient northern trade and cultural region of the Indian subcontinent, encompassing key routes and centers that linked South Asia with Central Asia and beyond.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a14e04c81909c007b97cf5378b6 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:20 p.m.