Triple
T8563559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Delhi |
E202746
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Janakpuri |
E469308
|
NE FINISHED |
How this triple was built (2 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: Janakpuri | Statement: [West Delhi, contains, Janakpuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janakpuri Context triple: [West Delhi, contains, Janakpuri]
-
A.
Janakpuri
chosen
Janakpuri is a prominent residential and commercial neighborhood in West Delhi, India, known for its planned layout, markets, and metro connectivity.
-
B.
Baharampur
Baharampur is a major town and administrative center in the Murshidabad district of the Indian state of West Bengal, known for its historical significance and regional commerce.
-
C.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
D.
Jogindernagar
Jogindernagar is a town in the Indian state of Himachal Pradesh, known for its scenic Himalayan setting and historic hydroelectric power projects.
-
E.
Kannauj
Kannauj is a historic town and parliamentary constituency in Uttar Pradesh, India, renowned for its ancient heritage and traditional perfume (attar) industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9cfc4a48190ae4530d3614d115f |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce895f91bc819099b1b2df59374403 |
completed | April 2, 2026, 3:21 p.m. |
Created at: March 30, 2026, 6:20 p.m.