Triple
T13895114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambalpur Junction |
E334066
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Rayagada |
E486525
|
NE FINISHED |
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: Rayagada | Statement: [Sambalpur Junction, connectsTo, Rayagada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rayagada Context triple: [Sambalpur Junction, connectsTo, Rayagada]
-
A.
Chaibasa
Chaibasa is a town in eastern India that serves as the administrative headquarters of West Singhbhum district in the state of Jharkhand.
-
B.
Balangir
Balangir is a town and district in the western Indian state of Odisha, known as a cultural center of the Kosal (Koshali) region.
-
C.
Rayagada district
chosen
Rayagada district is an administrative region in the Indian state of Odisha known for its significant tribal population and cultural diversity.
-
D.
Vizianagaram
Vizianagaram is a city in the Indian state of Andhra Pradesh known for its historical forts, cultural heritage, and role as an administrative and commercial center in the region.
-
E.
Nalgonda
Nalgonda is a town and district headquarters in the Indian state of Telangana, known for its proximity to major irrigation projects and its historical significance in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a741908190bdf46d76c5f1411a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6474da3081909be6b892ef8cc73e |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 9, 2026, 10:15 p.m.