Triple
T9851986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rromani |
E239489
|
entity |
| Predicate | hasRelatedEthnicGroup |
P1969
|
FINISHED |
| Object | Banjara |
E531896
|
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: Banjara | Statement: [Rromani, hasRelatedEthnicGroup, Banjara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banjara Context triple: [Rromani, hasRelatedEthnicGroup, Banjara]
-
A.
Banjara
chosen
Banjara are a traditionally nomadic tribal community of India known for their vibrant attire, folk traditions, and history as traders and transporters.
-
B.
Badnera
Badnera is a legislative assembly constituency in the Amravati district of Maharashtra, India.
-
C.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
-
D.
Pilibanga
Pilibanga is a town in the Hanumangarh district of Rajasthan, India, known for its agricultural markets and proximity to the archaeological site of Kalibangan.
-
E.
Tundla
Tundla is a town in the Indian state of Uttar Pradesh known primarily as a major railway junction and transit hub in the Braj cultural region.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb375ba448190a32cca2b0f376ac1 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5ee190c8190957451d8d8291df3 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:34 p.m.