Triple
T939381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahakoshal region |
E20269
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Gondi |
E20268
|
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: Gondi | Statement: [Mahakoshal region, hasLanguage, Gondi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gondi Context triple: [Mahakoshal region, hasLanguage, Gondi]
-
A.
Gondi
chosen
Gondi is a Dravidian language spoken primarily by the Gondi people in central India, especially across parts of Madhya Pradesh, Maharashtra, Chhattisgarh, and neighboring regions.
-
B.
Eichig
Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
C.
Owada
Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
-
D.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
E.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38a3ad4819080d71849e822a12a |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac258152cc8190a24456aefd58f19c |
completed | March 7, 2026, 1:17 p.m. |
Created at: March 1, 2026, 7:40 p.m.