Triple
T17937939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaitanya Charitamrita |
E448516
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Puri |
—
|
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: Puri | Statement: [Chaitanya Charitamrita, setting, Puri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puri Context triple: [Chaitanya Charitamrita, setting, Puri]
-
A.
Puri
chosen
Puri is a coastal city in the Indian state of Odisha, renowned as a major Hindu pilgrimage site and home to the famous Jagannath Temple.
-
B.
Tamralipti
Tamralipti was an ancient and prominent port city on the eastern coast of the Indian subcontinent that served as a key maritime hub for trade and cultural exchange between India and Southeast Asia.
-
C.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
D.
Mandapam
Mandapam is a coastal town in Tamil Nadu, India, known as a gateway to Rameswaram and for its fishing and marine activities.
-
E.
Lakdikapul
Lakdikapul is a prominent commercial and transit locality in central Hyderabad, known for its busy roads, hotels, and connectivity to major city hubs.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad937f0881909d22ac8c2be9e35e |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.