Triple
T10016623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Delhi |
E199511
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Patparganj
Patparganj is a residential and industrial neighborhood in East Delhi, India, known for its large industrial area and middle-class housing colonies.
|
E835114
|
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: Patparganj | Statement: [East Delhi, hasNeighbourhood, Patparganj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patparganj Context triple: [East Delhi, hasNeighbourhood, Patparganj]
-
A.
Bhaderwahi
Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, India.
-
B.
Alipur
Alipur is a locality in the northern part of Delhi, India, known for its role in regional governance and its mix of urban and semi-rural character.
-
C.
Alipur
Alipur is a city in southern Punjab, Pakistan, known as a local commercial and administrative center in the Muzaffargarh District.
-
D.
Swarupnagar
Swarupnagar is a town in the North 24 Parganas district of West Bengal, India, known for its rural character and proximity to the India–Bangladesh border.
-
E.
Gandhi Nagar
Gandhi Nagar is a residential and commercial neighborhood in East Delhi, India, known for its large textile and garment market.
- 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: Patparganj Triple: [East Delhi, hasNeighbourhood, Patparganj]
Generated description
Patparganj is a residential and industrial neighborhood in East Delhi, India, known for its large industrial area and middle-class housing colonies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patparganj Target entity description: Patparganj is a residential and industrial neighborhood in East Delhi, India, known for its large industrial area and middle-class housing colonies.
-
A.
Bhaderwahi
Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, India.
-
B.
Alipur
Alipur is a city in southern Punjab, Pakistan, known as a local commercial and administrative center in the Muzaffargarh District.
-
C.
Alipur
Alipur is a locality in the northern part of Delhi, India, known for its role in regional governance and its mix of urban and semi-rural character.
-
D.
Swarupnagar
Swarupnagar is a town in the North 24 Parganas district of West Bengal, India, known for its rural character and proximity to the India–Bangladesh border.
-
E.
Gandhi Nagar
Gandhi Nagar is a residential and commercial neighborhood in East Delhi, India, known for its large textile and garment market.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4c17848190bf1a8017e755ba75 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a99971081908397f06c0ce913d0 |
completed | April 5, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69d26c20f50081909a8a3b4530dc5fc0 |
completed | April 5, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26caee48481909d085b8df7ce14ab |
completed | April 5, 2026, 2:07 p.m. |
Created at: March 30, 2026, 8:53 p.m.