Triple
T19815156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NH 48 |
E476040
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Tumakuru |
—
|
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: Tumakuru | Statement: [NH 48, connectsCity, Tumakuru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumakuru Context triple: [NH 48, connectsCity, Tumakuru]
-
A.
Tumakuru
chosen
Tumakuru is a major city in the Indian state of Karnataka, known as an important industrial, educational, and commercial center in the region.
-
B.
Kalaburagi
Kalaburagi is a major city in the northern part of the Indian state of Karnataka, known historically as Gulbarga and noted for its rich heritage and architectural monuments from the Bahmani Sultanate era.
-
C.
Khammam
Khammam is a city in the Indian state of Telangana known for its historical forts, temples, and proximity to the Munneru River.
-
D.
Tiptur
Tiptur is a town in the Indian state of Karnataka known for its coconut plantations and trade.
-
E.
Bellary
Bellary is a historic city in the Indian state of Karnataka, known for its rich mineral resources, especially iron ore, and its role as an important administrative and commercial center.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f861248190a633dd8d227d9697 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.