Triple
T18836571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katni Municipal Corporation |
E460680
|
entity |
| Predicate | governingBodyOf |
P479
|
FINISHED |
| Object | Katni |
—
|
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: Katni | Statement: [Katni Municipal Corporation, governingBodyOf, Katni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katni Context triple: [Katni Municipal Corporation, governingBodyOf, Katni]
-
A.
Katni
chosen
Katni is an industrial city in central India known for its cement factories, railway junction, and marble and limestone mining.
-
B.
Katni Junction
Katni Junction is a major railway junction in Madhya Pradesh, India, serving as an important connecting hub for multiple rail routes across central and northern India.
-
C.
Armona
Armona is a small unincorporated community located in California’s San Joaquin Valley.
-
D.
Katonda
Katonda is the supreme creator god and high deity in the traditional religion and cosmology of the Baganda people of Uganda.
-
E.
Orohena
Orohena is the highest peak on the island of Tahiti in French Polynesia, known for its rugged volcanic terrain and prominence in the Society Islands.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99e86388190957acaaab401b5cb |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.