Triple
T11431798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanded Lok Sabha constituency |
E270901
|
entity |
| Predicate | assemblySegment |
P63908
|
FINISHED |
| Object |
Mukhed
Mukhed is a town and legislative assembly constituency in the Nanded district of Maharashtra, India.
|
E924982
|
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: Mukhed | Statement: [Nanded Lok Sabha constituency, assemblySegment, Mukhed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mukhed Context triple: [Nanded Lok Sabha constituency, assemblySegment, Mukhed]
-
A.
Chandwad
Chandwad is a town in the Nashik district of Maharashtra, India, known for its historical temples and hill forts.
-
B.
Khanapur
Khanapur is a town in the Indian state of Karnataka known for its scenic surroundings, forested areas, and proximity to the Western Ghats.
-
C.
Bhusawal
Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
-
D.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
E.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
- 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: Mukhed Triple: [Nanded Lok Sabha constituency, assemblySegment, Mukhed]
Generated description
Mukhed is a town and legislative assembly constituency in the Nanded district of Maharashtra, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mukhed Target entity description: Mukhed is a town and legislative assembly constituency in the Nanded district of Maharashtra, India.
-
A.
Chandwad
Chandwad is a town in the Nashik district of Maharashtra, India, known for its historical temples and hill forts.
-
B.
Khanapur
Khanapur is a town in the Indian state of Karnataka known for its scenic surroundings, forested areas, and proximity to the Western Ghats.
-
C.
Bhusawal
Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
-
D.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
E.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c30d788190b0c939b33de89277 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8e212088190b611333d5de05757 |
completed | April 20, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69e5c28f24108190aa48ca90440d6d7f |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c474d2c88190882a55ae6621daef |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:35 p.m.