Triple
T3662822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikandra |
E77689
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Agra city |
E16921
|
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: Agra city | Statement: [Sikandra, partOf, Agra city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agra city Context triple: [Sikandra, partOf, Agra city]
-
A.
Agra
chosen
Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
-
B.
AGRA
AGRA is an African-based organization focused on transforming smallholder agriculture to improve food security and incomes across the continent.
-
C.
Agra district
Agra district is an administrative district in the Indian state of Uttar Pradesh, best known for encompassing the city of Agra, home to the Taj Mahal.
-
D.
Ayodhya
Ayodhya is an ancient city in India revered in Hinduism as the birthplace of Lord Rama and a major pilgrimage site.
-
E.
Fatehpur Sikri
Fatehpur Sikri is a 16th-century fortified city in Uttar Pradesh, India, built by the Mughal emperor Akbar and renowned for its grand red sandstone architecture and historical significance as a former imperial capital.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3fcd910819082012b10b23860aa |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5120849188190bea912ed14f90bf3 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 8, 2026, 3:25 p.m.