Triple
T8563561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Delhi |
E202746
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vikaspuri |
E751878
|
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: Vikaspuri | Statement: [West Delhi, contains, Vikaspuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vikaspuri Context triple: [West Delhi, contains, Vikaspuri]
-
A.
Daryaganj
Daryaganj is a historic neighborhood in Old Delhi, India, known for its Sunday book market, publishing houses, and colonial-era architecture.
-
B.
Tilak Nagar
chosen
Tilak Nagar is a prominent residential and commercial neighborhood in West Delhi, India, known for its bustling markets and dense urban character.
-
C.
Bhaderwahi
Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, India.
-
D.
Vartak Nagar
Vartak Nagar is a prominent residential and commercial locality in the city of Thane, Maharashtra, known for its dense housing complexes and proximity to major industrial and business areas.
-
E.
Laxmi Nagar
Laxmi Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
- 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_69cf280edb288190a7db5486cc426253 |
completed | April 3, 2026, 2:38 a.m. |
Created at: March 30, 2026, 6:20 p.m.