Triple
T20204463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kheragarh |
E493312
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Agra district |
—
|
NE NERFINISHED |
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: [Kheragarh, locatedIn, Agra district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agra district Context triple: [Kheragarh, locatedIn, Agra district]
-
A.
Agra district
chosen
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.
-
B.
Agra division
Agra division is an administrative division in the Indian state of Uttar Pradesh that includes the city of Agra and surrounding districts.
-
C.
Ayodhya district
Ayodhya district is an administrative region in the Indian state of Uttar Pradesh, renowned as a major Hindu pilgrimage center and the site of the revered city of Ayodhya.
-
D.
Agra Province
Agra Province was a major administrative region of British India centered on the city of Agra, forming part of the North-Western Provinces under colonial rule.
-
E.
Agra metropolitan area
The Agra metropolitan area is the urban agglomeration centered on the historic city of Agra in Uttar Pradesh, India, encompassing its surrounding suburbs and satellite localities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8f90108190b72e37c0056de0f8 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.