Triple
T3330626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rang Mahal |
E70023
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Old 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: Old Delhi | Statement: [Rang Mahal, city, Old Delhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Delhi Context triple: [Rang Mahal, city, Old Delhi]
-
A.
Agra
Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
-
B.
Delhi
chosen
Delhi is a major metropolitan region and the capital territory of India, known for its political significance, rich history, and diverse culture.
-
C.
North Delhi
North Delhi is an administrative district in the northern part of India’s capital region, known for its dense urban neighborhoods, educational institutions, and historical sites.
-
D.
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.
-
E.
South Delhi
South Delhi is a prominent and affluent administrative district in India’s capital region, known for its upscale residential neighborhoods, commercial hubs, and cultural landmarks.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb191e1988190a1d88596f6605aff |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33423dc288190b71eaa1c0feb26eb |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:12 p.m.