Triple
T14794792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paisa region |
E347745
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Paisa |
E179164
|
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: Paisa | Statement: [Paisa region, ethnonym, Paisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paisa Context triple: [Paisa region, ethnonym, Paisa]
-
A.
Paisas
chosen
Paisas are a culturally distinct group from Colombia’s Andean region, especially Antioquia, known for their entrepreneurial spirit, coffee-growing heritage, and characteristic Spanish accent.
-
B.
Bikaner rupee
The Bikaner rupee was the historical monetary unit used in the princely state of Bikaner in pre-independence India.
-
C.
Khazana
Khazana is a historic treasury building within the Mughal-era royal complex of Fatehpur Sikri in Uttar Pradesh, India.
-
D.
Hyderabadi rupee
The Hyderabadi rupee was the historical monetary unit used in the princely state of Hyderabad before its integration into the Indian monetary system.
-
E.
Dollar Bahu
Dollar Bahu is a popular Indian novel by Sudha Murty that explores family dynamics, materialism, and the cultural tensions between life in India and the United States.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24bea4408190975f4856cc02580e |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.