Triple
T5300712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumi Darwaza |
E119969
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | old city of Lucknow |
E22159
|
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 city of Lucknow | Statement: [Rumi Darwaza, partOf, old city of Lucknow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: old city of Lucknow Context triple: [Rumi Darwaza, partOf, old city of Lucknow]
-
A.
Qaiserbagh Palace, Lucknow
Qaiserbagh Palace in Lucknow is a grand 19th-century royal complex famed for its opulent architecture and association with the last Nawab of Awadh, Wajid Ali Shah.
-
B.
Lucknow
chosen
Lucknow is the capital city of the Indian state of Uttar Pradesh, renowned for its rich cultural heritage, refined Urdu literature, Awadhi cuisine, and elegant Mughal and colonial-era architecture.
-
C.
Old Delhi
Old Delhi is the historic walled quarter of India’s capital, renowned for its Mughal-era architecture, bustling markets, and narrow, crowded streets.
-
D.
Aligarh
Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
-
E.
Agra
Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8509f67c8190b2f82a8370301a59 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10f040f48190b34a586d362264ee |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:53 p.m.