Triple
T13895333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kosal region |
E334072
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Balangir |
E821290
|
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: Balangir | Statement: [Kosal region, hasMajorCity, Balangir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balangir Context triple: [Kosal region, hasMajorCity, Balangir]
-
A.
Balangir
chosen
Balangir is a town and district in the western Indian state of Odisha, known as a cultural center of the Kosal (Koshali) region.
-
B.
Sambalpur
Sambalpur is a historic city and former princely region in western Odisha, India, known for its cultural heritage, textile traditions, and role in 19th-century colonial-era political events.
-
C.
Bargarh
Bargarh is a town and district in the Indian state of Odisha, known for its agricultural economy and rich regional culture.
-
D.
Chakradharpur
Chakradharpur is a key railway town in Jharkhand, India, serving as an important divisional headquarters and transport hub on the Indian Railways network.
-
E.
Sundargarh district
Sundargarh district is a mineral-rich district in the Indian state of Odisha, known for its major industrial and mining activities centered around the city of Rourkela.
- 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_69fe7e72b9f08190a33e8e20541edd21 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 9, 2026, 10:15 p.m.