Triple
T17209036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cybercity Magarpatta |
E417674
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Hadapsar
Hadapsar is a rapidly developing suburb in the eastern part of Pune, India, known for its IT parks, residential complexes, and industrial areas.
|
E1256501
|
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: Hadapsar | Statement: [Cybercity Magarpatta, near, Hadapsar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadapsar Context triple: [Cybercity Magarpatta, near, Hadapsar]
-
A.
Belpahar
Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
-
B.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
C.
Malkapur
Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
-
D.
Gharapuri
Gharapuri is the historical name of Elephanta Island near Mumbai, India, renowned for its ancient rock-cut cave temples dedicated primarily to the Hindu god Shiva.
-
E.
Harsud
Harsud is a historic town in Madhya Pradesh, India, known for being submerged and relocated due to the construction of the Indira Sagar Dam on the Narmada River.
- 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: Hadapsar Triple: [Cybercity Magarpatta, near, Hadapsar]
Generated description
Hadapsar is a rapidly developing suburb in the eastern part of Pune, India, known for its IT parks, residential complexes, and industrial areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hadapsar Target entity description: Hadapsar is a rapidly developing suburb in the eastern part of Pune, India, known for its IT parks, residential complexes, and industrial areas.
-
A.
Belpahar
Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
-
B.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
C.
Malkapur
Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
-
D.
Gharapuri
Gharapuri is the historical name of Elephanta Island near Mumbai, India, renowned for its ancient rock-cut cave temples dedicated primarily to the Hindu god Shiva.
-
E.
Harsud
Harsud is a historic town in Madhya Pradesh, India, known for being submerged and relocated due to the construction of the Indira Sagar Dam on the Narmada River.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc3b0ec8190b8c9fc401da5770c |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fe0a28c8190a76b3a356f7e0478 |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a0161ceed2081908d2efe69c5bc06a0 |
completed | May 11, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0162692420819097b99a71ec470861 |
completed | May 11, 2026, 5 a.m. |
Created at: April 10, 2026, 5:38 a.m.