Triple
T13591202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandya district |
E324695
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Maddur |
E364418
|
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: Maddur | Statement: [Mandya district, containsTown, Maddur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maddur Context triple: [Mandya district, containsTown, Maddur]
-
A.
Maddur
chosen
Maddur is a town in Karnataka, India, known for its location between Bengaluru and Mysuru and its popular local snack, Maddur vada.
-
B.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
C.
Malkapur
Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
-
D.
Shirur
Shirur is a town in the Pune district of Maharashtra, India, known as a regional commercial and agricultural center.
-
E.
Gangathura
Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc578908190abd5cca94b1c3a5c |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.