Triple
T8373675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Delhi |
E197519
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Narela |
E710015
|
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: Narela | Statement: [North Delhi, contains, Narela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narela Context triple: [North Delhi, contains, Narela]
-
A.
Jasola
Jasola is a residential and commercial neighborhood in South Delhi, India, known for its mix of housing complexes, offices, and proximity to major roads and metro connectivity.
-
B.
Azadpur
chosen
Azadpur is a locality in North Delhi, India, known for its major wholesale fruit and vegetable market and connectivity via the Delhi Metro.
-
C.
Budge Budge
Budge Budge is an industrial town and river port in West Bengal, India, located along the Hooghly River near Kolkata.
-
D.
Karol Bagh
Karol Bagh is a prominent commercial and residential neighborhood in Delhi, India, known for its bustling markets, shopping streets, and traditional eateries.
-
E.
Kalyani Nagar
Kalyani Nagar is an upscale residential and commercial neighborhood in Pune, India, known for its IT parks, shopping malls, and vibrant dining and nightlife options.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a7cab881909d8cca66a340dceb |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce888975b081908af58968e43cdac9 |
completed | April 2, 2026, 3:17 p.m. |
Created at: March 30, 2026, 6:01 p.m.