Triple
T19099623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madia Gond |
E467493
|
entity |
| Predicate | relatedEthnicGroup |
P1969
|
FINISHED |
| Object | Murias |
—
|
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: Murias | Statement: [Madia Gond, relatedEthnicGroup, Murias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murias Context triple: [Madia Gond, relatedEthnicGroup, Murias]
-
A.
Murias
chosen
Murias are an indigenous tribal community of the Bastar region in central India, known for their distinct cultural traditions, social organization, and art forms.
-
B.
Moura
Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
-
C.
Moura
Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
-
D.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
-
E.
Yolosa
Yolosa is a small Bolivian village in the Nor Yungas region, known as a gateway to the country’s subtropical Yungas valleys and nearby mountain roads.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36c55688190b4a5135ea10c9924 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.