Triple
T22251001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratlam Municipal Corporation |
E549977
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | Ratlam 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: Ratlam city | Statement: [Ratlam Municipal Corporation, governs, Ratlam city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratlam city Context triple: [Ratlam Municipal Corporation, governs, Ratlam city]
-
A.
Ratlam
chosen
Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
-
B.
Khandwa city
Khandwa city is an urban center in the Indian state of Madhya Pradesh, known as a regional commercial and transportation hub.
-
C.
City of Ratlam
The City of Ratlam is an urban center in the Indian state of Madhya Pradesh, known as a regional commercial hub, particularly for its trade in textiles, gold, and agricultural products.
-
D.
Bhilsa
Bhilsa is a historical town in the Vidisha district of Madhya Pradesh, India, known for its ancient Buddhist and Hindu archaeological sites.
-
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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138befa208190877760dec1896740 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.