Triple
T19949839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sohan Singh Bhakna |
E479524
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bhakna |
—
|
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: Bhakna | Statement: [Sohan Singh Bhakna, familyName, Bhakna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhakna Context triple: [Sohan Singh Bhakna, familyName, Bhakna]
-
A.
Bhakna
chosen
Bhakna is an Indian surname notably associated with Sohan Singh Bhakna, a prominent early leader of the Ghadar Party in the Indian independence movement.
-
B.
Kauen
Kauen is the German name for Kaunas, a major city in Lithuania known for its historical significance and cultural heritage.
-
C.
Misool
Misool is one of the four major islands of Indonesia’s Raja Ampat archipelago, renowned for its rich marine biodiversity, karst landscapes, and world-class diving sites.
-
D.
Thali
Thali is a dialect of the Lahnda (Western Punjabi) language spoken primarily in parts of Pakistan’s Punjab region.
-
E.
Tepti-ahar
Tepti-ahar was a king of the Middle Elamite period in ancient Elam, known from inscriptions that attest to his rule in southwestern Iran.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6a93548190875af2176e6901a7 |
completed | April 20, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:54 p.m.