Triple
T4736033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South West Delhi |
E105128
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kapashera
Kapashera is a locality in the South West district of Delhi, India, known for its proximity to the Delhi-Gurugram border and its role as an administrative and commercial hub in the area.
|
E465426
|
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: Kapashera | Statement: [South West Delhi, contains, Kapashera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapashera Context triple: [South West Delhi, contains, Kapashera]
-
A.
Kukawa
Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
-
B.
Kandia
Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
-
C.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
D.
Katsav
Katsav is the surname of Moshe Katsav, an Israeli politician who served as the eighth President of Israel.
-
E.
Kokapet
Kokapet is a rapidly developing suburban locality in the western part of Hyderabad, India, known for its emerging IT, commercial, and residential hubs.
- 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: Kapashera Triple: [South West Delhi, contains, Kapashera]
Generated description
Kapashera is a locality in the South West district of Delhi, India, known for its proximity to the Delhi-Gurugram border and its role as an administrative and commercial hub in the area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapashera Target entity description: Kapashera is a locality in the South West district of Delhi, India, known for its proximity to the Delhi-Gurugram border and its role as an administrative and commercial hub in the area.
-
A.
Kukawa
Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
-
B.
Kandia
Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
-
C.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
D.
Katsav
Katsav is the surname of Moshe Katsav, an Israeli politician who served as the eighth President of Israel.
-
E.
Kokapet
Kokapet is a rapidly developing suburban locality in the western part of Hyderabad, India, known for its emerging IT, commercial, and residential hubs.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64831c58819098758ac1f7839b3a |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10b49b90819091c3ab38e976baeb |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be177f39a08190b56cc0ff0b696b90 |
completed | March 21, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be17d87ab4819085da13a4562ae03c |
completed | March 21, 2026, 4 a.m. |
Created at: March 20, 2026, 1:19 p.m.