Triple
T10406409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pusa, New Delhi |
E245273
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object |
Inderpuri
Inderpuri is a residential neighborhood in West Delhi, India, known for its proximity to the Pusa Institute and other central parts of New Delhi.
|
E861893
|
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: Inderpuri | Statement: [Pusa, New Delhi, hasNearbyLocality, Inderpuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inderpuri Context triple: [Pusa, New Delhi, hasNearbyLocality, Inderpuri]
-
A.
Indrapura
Indrapura was a prominent historical capital city of the Champa kingdom in what is now central Vietnam.
-
B.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
C.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
D.
Gajsinghpur
Gajsinghpur is a small town in the northern Indian state of Rajasthan, near the India–Pakistan border, known primarily as a local agricultural and trading center.
-
E.
Jampur
Jampur is a city in southern Punjab, Pakistan, known as a regional urban center with agricultural and commercial significance.
- 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: Inderpuri Triple: [Pusa, New Delhi, hasNearbyLocality, Inderpuri]
Generated description
Inderpuri is a residential neighborhood in West Delhi, India, known for its proximity to the Pusa Institute and other central parts of New Delhi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inderpuri Target entity description: Inderpuri is a residential neighborhood in West Delhi, India, known for its proximity to the Pusa Institute and other central parts of New Delhi.
-
A.
Indrapura
Indrapura was a prominent historical capital city of the Champa kingdom in what is now central Vietnam.
-
B.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
C.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
D.
Gajsinghpur
Gajsinghpur is a small town in the northern Indian state of Rajasthan, near the India–Pakistan border, known primarily as a local agricultural and trading center.
-
E.
Jampur
Jampur is a city in southern Punjab, Pakistan, known as a regional urban center with agricultural and commercial significance.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9f834288190a0df246974ffaea8 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbe721b48190a4fd0c1d839c580e |
completed | April 9, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d822d597088190bf3dca85e1ddb890 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859cc1aac8190ab232bb4e4e4fac1 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:08 p.m.