Triple
T23087681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahdol railway station |
E575655
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Shahdol city |
—
|
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: Shahdol city | Statement: [Shahdol railway station, serves, Shahdol city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahdol city Context triple: [Shahdol railway station, serves, Shahdol city]
-
A.
Shahdol
chosen
Shahdol is a city in the eastern part of Madhya Pradesh, India, known as an administrative and commercial center for the surrounding coal- and forest-rich region.
-
B.
Shahdol district
Shahdol district is an administrative district in the Indian state of Madhya Pradesh, known for its coal reserves and forested, tribal-populated areas.
-
C.
Hoshangabad
Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
-
D.
Alirajpur
Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
-
E.
Satna city
Satna city is an urban center in the Indian state of Madhya Pradesh, known as a regional commercial and transportation hub.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da7c54c81908b62d04ab1811b06 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.