Triple
T5815294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeola |
E128969
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Kopargaon
Kopargaon is a town in the Ahmednagar district of Maharashtra, India, known as a commercial and transport hub near the pilgrimage city of Shirdi.
|
E551342
|
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: Kopargaon | Statement: [Yeola, locatedNear, Kopargaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kopargaon Context triple: [Yeola, locatedNear, Kopargaon]
-
A.
Dhrol
Dhrol is a town in the Jamnagar district of Gujarat, India, known historically as the seat of the former princely Dhrol State.
-
B.
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.
-
C.
Nandgaon
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
-
D.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
-
E.
Khargone
Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
- 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: Kopargaon Triple: [Yeola, locatedNear, Kopargaon]
Generated description
Kopargaon is a town in the Ahmednagar district of Maharashtra, India, known as a commercial and transport hub near the pilgrimage city of Shirdi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kopargaon Target entity description: Kopargaon is a town in the Ahmednagar district of Maharashtra, India, known as a commercial and transport hub near the pilgrimage city of Shirdi.
-
A.
Dhrol
Dhrol is a town in the Jamnagar district of Gujarat, India, known historically as the seat of the former princely Dhrol State.
-
B.
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.
-
C.
Nandgaon
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
-
D.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
-
E.
Khargone
Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
- 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_69c0a185cc78819098c0f04e7ebfb3c4 |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a2463cb08190aa5976ebd62c30d6 |
completed | March 23, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a2afcef88190a77c8089a1b85393 |
completed | March 23, 2026, 2:17 a.m. |
Created at: March 22, 2026, 3:53 p.m.