Triple
T21545845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malwa region of Madhya Pradesh |
E531620
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Bagli |
—
|
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: Bagli | Statement: [Malwa region of Madhya Pradesh, hasMajorCity, Bagli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagli Context triple: [Malwa region of Madhya Pradesh, hasMajorCity, Bagli]
-
A.
Bagli
chosen
Bagli is a town located in the Dewas district of the central Indian state of Madhya Pradesh.
-
B.
Bargi
Bargi is a town in the Jabalpur district of Madhya Pradesh, India, known for its proximity to the Bargi Dam and reservoir on the Narmada River.
-
C.
Paraggi
Paraggi is a small, picturesque bay and beach on the Italian Riviera, known for its clear emerald waters and upscale seaside atmosphere between Santa Margherita Ligure and Portofino.
-
D.
Bagà
Bagà is a historic town in Catalonia, Spain, known for its medieval old quarter and location in the Pyrenees.
-
E.
Ballari
Ballari is a major city in the Indian state of Karnataka, known for its rich mineral resources and historical forts.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58ef2548190a81ff51baba76e48 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.