Triple
T11964500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sehore district |
E284756
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Budni
Budni is a town in the Sehore district of Madhya Pradesh, India, known for its industrial presence and proximity to the Narmada River.
|
E957017
|
NE FINISHED |
How this triple was built (4 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: Budni | Statement: [Sehore district, hasSettlement, Budni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Budni Context triple: [Sehore district, hasSettlement, Budni]
-
A.
Bednja
Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
-
B.
Blansko
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
-
C.
Beránek
Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
-
D.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
-
E.
Vamberk
Vamberk is a Czech town in the Hradec Králové Region renowned for its long tradition of handmade bobbin lace-making.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Budni Triple: [Sehore district, hasSettlement, Budni]
Generated description
Budni is a town in the Sehore district of Madhya Pradesh, India, known for its industrial presence and proximity to the Narmada River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Budni Target entity description: Budni is a town in the Sehore district of Madhya Pradesh, India, known for its industrial presence and proximity to the Narmada River.
-
A.
Bednja
Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
-
B.
Blansko
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
-
C.
Beránek
Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
-
D.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
-
E.
Vamberk
Vamberk is a Czech town in the Hradec Králové Region renowned for its long tradition of handmade bobbin lace-making.
- F. None of above. chosen
Provenance (5 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903799f948190a5dc4d3822f3ff27 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4594054f08190b28b35f62dfb9198 |
completed | May 1, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69f45f89d5b08190a87312d96e61898a |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f464a5191881908e291943996169cb |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 8, 2026, 9:45 p.m.