Triple
T18836527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katni district |
E460678
|
entity |
| Predicate | hasRailwayYard |
P18851
|
FINISHED |
| Object | Katni railway yard |
—
|
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 railway yard | Statement: [Katni district, hasRailwayYard, Katni railway yard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katni railway yard Context triple: [Katni district, hasRailwayYard, Katni railway yard]
-
A.
Katni Junction
chosen
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.
-
B.
Senaki railway junction
Senaki railway junction is a key rail transport hub in western Georgia that connects major regional and national railway lines.
-
C.
Liluah railway yard
Liluah railway yard is a major railway maintenance and marshalling facility near Howrah in West Bengal, India, known for its workshops and rolling stock operations.
-
D.
Scaleybark station
Scaleybark station is a light rail stop in Charlotte, North Carolina, serving passengers on the city’s LYNX Blue Line.
-
E.
Hledan Junction
Hledan Junction is a major commercial and transportation hub in Yangon, Myanmar, known for its busy traffic intersection, markets, and proximity to universities.
- 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.