Triple
T16386547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agra metropolitan area |
E397936
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Agra Cantonment |
E377845
|
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 Cantonment | Statement: [Agra metropolitan area, hasPart, Agra Cantonment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agra Cantonment Context triple: [Agra metropolitan area, hasPart, Agra Cantonment]
-
A.
Agra Cantonment
chosen
Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
-
B.
Ambala Cantonment
Ambala Cantonment is a prominent military and commercial town in Haryana, India, known for its strategic location and major railway junction.
-
C.
Delhi Cantonment
Delhi Cantonment is a prominent military area in New Delhi that serves as a major base and administrative center for the Indian Armed Forces.
-
D.
Lucknow Cantonment
Lucknow Cantonment is a prominent military and residential area in Lucknow, Uttar Pradesh, known for its army establishments, orderly infrastructure, and role as a state legislative assembly constituency.
-
E.
Varanasi Cantonment
Varanasi Cantonment is the former name of the major railway hub now known as Varanasi Junction in Uttar Pradesh, India.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263d260081909db9ac6016d5738a |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356ed47c819085aaf101459dd55c |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.