Triple
T20130070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sehore railway station |
E490864
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Ujjain |
—
|
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: Ujjain | Statement: [Sehore railway station, connectsTo, Ujjain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ujjain Context triple: [Sehore railway station, connectsTo, Ujjain]
-
A.
Ujjain
chosen
Ujjain is an ancient city in central India, renowned as a major Hindu pilgrimage center and one of the traditional sites of the Kumbh Mela.
-
B.
Ujjainiya
Ujjainiya is a Rajput clan historically known for ruling the Jagdishpur estate and playing a significant role in the politics of the Bhojpur region of Bihar.
-
C.
Mathura
Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
-
D.
Jabalpur
Jabalpur is a major city in the central Indian state of Madhya Pradesh, known for its industrial base, educational institutions, and nearby marble rock formations along the Narmada River.
-
E.
Ujjain Junction
Ujjain Junction is a major railway station and transportation hub serving the historic city of Ujjain in the Indian state of Madhya Pradesh.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676183dc8190b65d0def681aaa1e |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.