Triple
T21545894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malwa region of Madhya Pradesh |
E531620
|
entity |
| Predicate | historicalCapital |
P2536
|
FINISHED |
| Object | Dhar |
—
|
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: Dhar | Statement: [Malwa region of Madhya Pradesh, historicalCapital, Dhar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhar Context triple: [Malwa region of Madhya Pradesh, historicalCapital, Dhar]
-
A.
Dhar
chosen
Dhar is a historic town and administrative center in the Indian state of Madhya Pradesh, known for its medieval forts, Islamic architecture, and cultural heritage.
-
B.
Badaun
Badaun is a historic city in the Indian state of Uttar Pradesh, known for its medieval Islamic architecture and cultural significance during the Delhi Sultanate period.
-
C.
Dadri
Dadri is a town in the Indian state of Uttar Pradesh known for its industrial development and proximity to the National Capital Region.
-
D.
Kadipur
Kadipur is a town in the Sultanpur district of Uttar Pradesh, India, functioning as a local administrative and commercial center for the surrounding rural area.
-
E.
Umarkhed
Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
- 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.