Triple
T7122978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lalon Shah |
E165990
|
entity |
| Predicate | movement |
P81
|
FINISHED |
| Object | Baul |
E30578
|
NE FINISHED |
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: Baul | Statement: [Lalon Shah, movement, Baul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baul Context triple: [Lalon Shah, movement, Baul]
-
A.
Baul
chosen
Baul is a mystical folk music tradition of Bengal known for its wandering minstrels who sing spiritual, often devotional songs accompanied by simple instruments.
-
B.
Deukhuri
Deukhuri is a town in southwestern Nepal that serves as the administrative center of Lumbini (Province 5).
-
C.
Banga
Banga is an Indian-origin surname most prominently associated with Ajay Banga, the business executive and current President of the World Bank.
-
D.
Banga
Banga is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice fields and inland resorts.
-
E.
Banga
Banga is a town in present-day Pakistan’s Punjab region, historically notable as the birthplace of Indian revolutionary Bhagat Singh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6493fd88190b0c066a2ad74917c |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad899dc081908808dc60015fd19e |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:44 p.m.