Triple
T19659999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahdara district |
E472054
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Babarpur
Babarpur is a residential and commercial neighborhood located in the Shahdara area of East Delhi, India.
|
E1390098
|
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: Babarpur | Statement: [Shahdara district, hasNeighbourhood, Babarpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babarpur Context triple: [Shahdara district, hasNeighbourhood, Babarpur]
-
A.
Bishrampur
Bishrampur is a municipality in southern Nepal located within Madhesh Province near the border with India.
-
B.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
C.
Bazpur
Bazpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural economy and proximity to the foothills of the Himalayas.
-
D.
Daryapur
Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
-
E.
Zaidpur
Zaidpur is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and traditional crafts.
- 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: Babarpur Triple: [Shahdara district, hasNeighbourhood, Babarpur]
Generated description
Babarpur is a residential and commercial neighborhood located in the Shahdara area of East Delhi, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Babarpur Target entity description: Babarpur is a residential and commercial neighborhood located in the Shahdara area of East Delhi, India.
-
A.
Bishrampur
Bishrampur is a municipality in southern Nepal located within Madhesh Province near the border with India.
-
B.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
C.
Bazpur
Bazpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural economy and proximity to the foothills of the Himalayas.
-
D.
Daryapur
Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
-
E.
Zaidpur
Zaidpur is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and traditional crafts.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414993ac8190b6da3702b1924b24 |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787b6ddc881909bb49c8df572d49e |
completed | May 15, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_6a078956bad08190a0e16b8a7a7a8a15 |
completed | May 15, 2026, 9 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a078a0b7a7c8190adb44f9f20e0b6ff |
completed | May 15, 2026, 9:03 p.m. |
Created at: April 10, 2026, 1:45 p.m.