Triple
T5815293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeola |
E128969
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Nandgaon
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
|
E546640
|
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: Nandgaon | Statement: [Yeola, locatedNear, Nandgaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandgaon Context triple: [Yeola, locatedNear, Nandgaon]
-
A.
Nandgaon
Nandgaon is a historic town in the Braj region of India, revered in Hindu tradition as the childhood home of Lord Krishna and an important pilgrimage site.
-
B.
Nandod
Nandod is the former name of the town now known as Rajpipla in the Indian state of Gujarat.
-
C.
Sawantwadi
Sawantwadi is a historic town in Maharashtra, India, known for its former royal palace, traditional wooden toys, and scenic location near the Goa border.
-
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.
Lohegaon
Lohegaon is a suburban area of Pune, India, known for its residential neighborhoods and proximity to key transport and defense installations.
- 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: Nandgaon Triple: [Yeola, locatedNear, Nandgaon]
Generated description
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nandgaon Target entity description: Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
-
A.
Nandgaon
Nandgaon is a historic town in the Braj region of India, revered in Hindu tradition as the childhood home of Lord Krishna and an important pilgrimage site.
-
B.
Nandod
Nandod is the former name of the town now known as Rajpipla in the Indian state of Gujarat.
-
C.
Sawantwadi
Sawantwadi is a historic town in Maharashtra, India, known for its former royal palace, traditional wooden toys, and scenic location near the Goa border.
-
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.
Lohegaon
Lohegaon is a suburban area of Pune, India, known for its residential neighborhoods and proximity to key transport and defense installations.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0336344148190bcf417c0b9617cb9 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0984c5f14819096dfabce4a83e332 |
completed | March 23, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c098d936d081909d930fc8b6b3fd67 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09943deec819085992c4e44050a34 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:53 p.m.