Triple
T6164223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DU |
E137516
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Delhi |
E79579
|
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: Delhi | Statement: [DU, city, Delhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delhi Context triple: [DU, city, Delhi]
-
A.
Delhi
chosen
Delhi is a major metropolitan region and the capital territory of India, known for its political significance, rich history, and diverse culture.
-
B.
Delhi NCR
Delhi NCR is a large metropolitan region in northern India that encompasses the national capital Delhi and surrounding urban areas across neighboring states, forming one of the country’s major economic and population centers.
-
C.
West Delhi
West Delhi is an administrative district in the western part of India’s National Capital Territory of Delhi, known for its dense residential neighborhoods and bustling commercial areas.
-
D.
Chandigarh
Chandigarh is a planned city in northern India, renowned for its modernist architecture and urban design largely conceived by the Swiss-French architect Le Corbusier.
-
E.
Noida
Noida is a major planned city and technology hub in the National Capital Region near Delhi, known for its modern infrastructure, IT parks, and residential developments.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d6036f88190a4bf540e7fe8d48d |
completed | March 22, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ec6b6648190801da4781246c27e |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:17 p.m.