Triple
T18836551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katni River |
E460679
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Katni 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: Katni city | Statement: [Katni River, namedAfter, Katni city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katni city Context triple: [Katni River, namedAfter, Katni city]
-
A.
Katni
chosen
Katni is an industrial city in central India known for its cement factories, railway junction, and marble and limestone mining.
-
B.
Mima City
Mima City is a municipality in western Tokushima Prefecture, Japan, known for its historic townscapes, traditional indigo dyeing culture, and scenic rural landscapes.
-
C.
Southwoods City
Southwoods City is a large mixed-use township development in the Philippines featuring residential, commercial, and leisure components.
-
D.
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.
-
E.
Dain City
Dain City is a residential community in Ontario, Canada, situated within the city of Port Colborne near the Welland Canal.
- 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.