Triple
T16676747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twelve |
E405231
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Banga |
E405232
|
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: Banga | Statement: [Twelve, followedBy, Banga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banga Context triple: [Twelve, followedBy, Banga]
-
A.
Banga
Banga is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice fields and inland resorts.
-
B.
Banga
Banga is an alternative name for the ancient Vanga region, a historical territory in the eastern part of the Indian subcontinent, largely corresponding to present-day Bangladesh and parts of West Bengal.
-
C.
Banga
Banga is a town in the Shaheed Bhagat Singh Nagar district of Punjab, India, known as a local commercial and educational hub.
-
D.
Banga
Banga is a town in present-day Pakistan’s Punjab region, historically notable as the birthplace of Indian revolutionary Bhagat Singh.
-
E.
Banga
chosen
Banga is a 2012 studio album by American musician and poet Patti Smith that blends rock, poetry, and literary references.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6b69cc8190b19632e1b4293569 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091927a408190a612a9ae2fd30d0a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.