Triple
T791376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agra |
E16921
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Agra district |
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 district | Statement: [Agra, locatedInDistrict, Agra district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agra district Context triple: [Agra, locatedInDistrict, Agra district]
-
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.
Kurukshetra district
Kurukshetra district is an administrative region in northern India renowned as the legendary battlefield of the Mahabharata and a major Hindu pilgrimage center.
-
C.
Panipat district
Panipat district is an administrative region in northern India known for the historic battlefield city of Panipat, where several major battles that shaped Indian history took place.
-
D.
Meerut
Meerut is a historic city in the Indian state of Uttar Pradesh, known as the place where the Indian Rebellion of 1857 first erupted against British colonial rule.
-
E.
Moradabad
Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a798c7608190b9c79c52a1fe0859 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3b978de4819083b117ee3a6cb8c1 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:38 p.m.