Triple
T19789840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guna Lok Sabha constituency |
E475380
|
entity |
| Predicate | assemblySegments |
P63908
|
FINISHED |
| Object |
Bamori
Bamori is a legislative assembly constituency in the Indian state of Madhya Pradesh that forms part of the Guna parliamentary seat.
|
E1396227
|
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: Bamori | Statement: [Guna Lok Sabha constituency, assemblySegments, Bamori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamori Context triple: [Guna Lok Sabha constituency, assemblySegments, Bamori]
-
A.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
-
B.
Bantumi
Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
-
C.
Borama
Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
-
D.
Goromonzi
Goromonzi is a town and rural district center in northeastern Zimbabwe known for its agricultural activities and proximity to the capital, Harare.
-
E.
Boari
Boari is an Italian surname most notably associated with Adamo Boari, an architect known for designing prominent buildings in Mexico such as the Palacio de Bellas Artes.
- 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: Bamori Triple: [Guna Lok Sabha constituency, assemblySegments, Bamori]
Generated description
Bamori is a legislative assembly constituency in the Indian state of Madhya Pradesh that forms part of the Guna parliamentary seat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bamori Target entity description: Bamori is a legislative assembly constituency in the Indian state of Madhya Pradesh that forms part of the Guna parliamentary seat.
-
A.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
-
B.
Bantumi
Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
-
C.
Borama
Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
-
D.
Goromonzi
Goromonzi is a town and rural district center in northeastern Zimbabwe known for its agricultural activities and proximity to the capital, Harare.
-
E.
Boari
Boari is an Italian surname most notably associated with Adamo Boari, an architect known for designing prominent buildings in Mexico such as the Palacio de Bellas Artes.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538ae5108190b80eb7de6f445f02 |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4fdbf4c8190a9177e87b65fc965 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c90c07a48190b0f23597124b5017 |
completed | May 16, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c97b33b481909e9b45b37cfe87b3 |
completed | May 16, 2026, 1:33 a.m. |
Created at: April 10, 2026, 1:49 p.m.