Triple
T20171102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baran district |
E491959
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Kota district |
—
|
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: Kota district | Statement: [Baran district, borderedBy, Kota district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kota district Context triple: [Baran district, borderedBy, Kota district]
-
A.
Kota district
chosen
Kota district is an administrative region in the southeastern part of Rajasthan, India, known for its industrial city of Kota and its prominence as a national hub for engineering and medical entrance exam coaching.
-
B.
Buka District
Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
-
C.
Gaya district
Gaya district is an administrative region in the Indian state of Bihar, renowned as a major Buddhist pilgrimage center that includes the sacred site of Bodh Gaya.
-
D.
Buyende District
Buyende District is an administrative district in eastern Uganda, known for its rural communities and location along the shores of Lake Kyoga.
-
E.
Saha District
Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66848ae3c8190aa5fde66da35a89a |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.