Triple
T10742790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shravanabelagola |
E253369
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Hassan district |
E864132
|
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: Hassan district | Statement: [Shravanabelagola, district, Hassan district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hassan district Context triple: [Shravanabelagola, district, Hassan district]
-
A.
Hassan district
chosen
Hassan district is an administrative region in the state of Karnataka, India, known for its rich Hoysala-era temple architecture and agricultural prominence.
-
B.
Rashidan District
Rashidan District is an administrative district in central Afghanistan known for its rural communities within Ghazni Province.
-
C.
Mizan District
Mizan District is an administrative district located within Zabul Province in southern Afghanistan.
-
D.
Nuqat al Khams District
Nuqat al Khams District is a coastal administrative region in northwestern Libya, located along the Mediterranean Sea near the border with Tunisia.
-
E.
Hasbaya District
Hasbaya District is an administrative district in southern Lebanon known for its mountainous landscape, historic town of Hasbaya, and proximity to the Golan Heights and the Israeli border.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b5dd8c81908f1d9b126e4c3ae7 |
completed | April 9, 2026, 2:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22fc13b0819098caf88328397053 |
completed | April 14, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:15 p.m.