Triple
T12310101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pune district |
E293453
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Ambegaon
Ambegaon is a town in the Pune district of Maharashtra, India, known for its semi-rural setting and proximity to the Western Ghats.
|
E974307
|
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: Ambegaon | Statement: [Pune district, containsTown, Ambegaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambegaon Context triple: [Pune district, containsTown, Ambegaon]
-
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.
Nandgaon
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
-
C.
Chandwad
Chandwad is a town in the Nashik district of Maharashtra, India, known for its historical temples and hill forts.
-
D.
Bhusawal
Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
-
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: Ambegaon Triple: [Pune district, containsTown, Ambegaon]
Generated description
Ambegaon is a town in the Pune district of Maharashtra, India, known for its semi-rural setting and proximity to the Western Ghats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ambegaon Target entity description: Ambegaon is a town in the Pune district of Maharashtra, India, known for its semi-rural setting and proximity to the Western Ghats.
-
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.
Nandgaon
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
-
C.
Chandwad
Chandwad is a town in the Nashik district of Maharashtra, India, known for its historical temples and hill forts.
-
D.
Bhusawal
Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
-
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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f02c0508190b10c0627cdaaba76 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5d746c8190b5b0edfc4832bc6c |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6203ef5008190af9103460b096cff |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.