Triple
T25445861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadhak Bamakhepa |
E637635
|
entity |
| Predicate | primaryPlaceOfPractice |
P120367
|
FINISHED |
| Object | Tarapith |
—
|
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: Tarapith | Statement: [Sadhak Bamakhepa, primaryPlaceOfPractice, Tarapith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPlaceOfPractice Context triple: [Sadhak Bamakhepa, primaryPlaceOfPractice, Tarapith]
-
A.
placeOfPractice
chosen
Indicates the location where an individual or organization regularly carries out their professional activities or services.
-
B.
primaryPractice
Indicates that one entity is the main or most significant activity, occupation, or method regularly carried out or used by another entity.
-
C.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
-
D.
practicedMedicineIn
Indicates that a person engaged in the professional practice of medicine within a specified location or jurisdiction.
-
E.
primaryPractitioners
Indicates the entities that are the main or most directly responsible practitioners of a given activity, field, or practice in relation to another entity.
- 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 21, 2026, 2:01 p.m.