Triple
T697132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jama Masjid, Delhi |
E13917
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Old Delhi |
E94582
|
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: [Jama Masjid, Delhi, locatedIn, Old Delhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Delhi Context triple: [Jama Masjid, Delhi, locatedIn, 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
Delhi is a major metropolitan region and the capital territory of India, known for its political significance, rich history, and diverse culture.
-
C.
Shahjahanabad
chosen
Shahjahanabad, now known as Old Delhi, was the fortified Mughal imperial city founded by Emperor Shah Jahan and later served as the empire’s political and cultural center.
-
D.
New Delhi, India
New Delhi, India is the capital city of India, serving as the nation’s political and administrative center and home to key government institutions and historic landmarks.
-
E.
Aligarh
Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c8055881909565ebde2be8fd7a |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f1e0cd48190953a1e0dc2912e39 |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:36 p.m.