Triple
T11321554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raigad district |
E268104
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mangaon
Mangaon is a town in the Raigad district of Maharashtra, India, known as a local commercial and transport hub in the Konkan region.
|
E919078
|
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: Mangaon | Statement: [Raigad district, contains, Mangaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangaon Context triple: [Raigad district, contains, Mangaon]
-
A.
Malkapur
Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
-
B.
Manikonda
Manikonda is a rapidly developing residential and IT suburb in the western part of Hyderabad, known for its proximity to major technology hubs and corporate campuses.
-
C.
Kotagiri
Kotagiri is a hill station town in the Nilgiri district of Tamil Nadu, India, known for its cool climate, tea plantations, and scenic mountain landscapes.
-
D.
Manpada
Manpada is a residential suburb located in the city of Thane in the Mumbai Metropolitan Region of Maharashtra, India.
-
E.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
- 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: Mangaon Triple: [Raigad district, contains, Mangaon]
Generated description
Mangaon is a town in the Raigad district of Maharashtra, India, known as a local commercial and transport hub in the Konkan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mangaon Target entity description: Mangaon is a town in the Raigad district of Maharashtra, India, known as a local commercial and transport hub in the Konkan region.
-
A.
Malkapur
Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
-
B.
Manikonda
Manikonda is a rapidly developing residential and IT suburb in the western part of Hyderabad, known for its proximity to major technology hubs and corporate campuses.
-
C.
Kotagiri
Kotagiri is a hill station town in the Nilgiri district of Tamil Nadu, India, known for its cool climate, tea plantations, and scenic mountain landscapes.
-
D.
Manpada
Manpada is a residential suburb located in the city of Thane in the Mumbai Metropolitan Region of Maharashtra, India.
-
E.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525ed950081908ec94cfbf8849e85 |
completed | April 19, 2026, 6:58 p.m. |
| NEDg | Description generation | batch_69e52c82b6108190aec9b6e9d726f803 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531b079708190ac9e19127d36a848 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.