Triple
T3662832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikandra |
E77689
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Agra Cantonment
Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
|
E377845
|
NE FINISHED |
How this triple was built (4 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: [Sikandra, locatedNear, Agra Cantonment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agra Cantonment Context triple: [Sikandra, locatedNear, Agra Cantonment]
-
A.
Danapur Cantonment
Danapur Cantonment is a major Indian Army cantonment town located near Patna in the state of Bihar, serving as an important military and administrative center.
-
B.
Chaklala Cantonment
Chaklala Cantonment is a major Pakistani military garrison area located in the city of Rawalpindi, adjacent to Islamabad.
-
C.
Ayodhya Cantt
Ayodhya Cantt is a major railway station serving the city of Ayodhya in Uttar Pradesh, India, connecting it to key destinations across the country.
-
D.
Kohat Cantonment
Kohat Cantonment is a major military garrison area in Kohat, Pakistan, housing army facilities and associated residential and administrative infrastructure.
-
E.
Mhow
Mhow is a cantonment town in the Indore district of Madhya Pradesh, India, historically significant as a British-era military base and now known as Dr. Ambedkar Nagar.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Agra Cantonment Triple: [Sikandra, locatedNear, Agra Cantonment]
Generated description
Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agra Cantonment Target entity description: Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
-
A.
Danapur Cantonment
Danapur Cantonment is a major Indian Army cantonment town located near Patna in the state of Bihar, serving as an important military and administrative center.
-
B.
Chaklala Cantonment
Chaklala Cantonment is a major Pakistani military garrison area located in the city of Rawalpindi, adjacent to Islamabad.
-
C.
Ayodhya Cantt
Ayodhya Cantt is a major railway station serving the city of Ayodhya in Uttar Pradesh, India, connecting it to key destinations across the country.
-
D.
Kohat Cantonment
Kohat Cantonment is a major military garrison area in Kohat, Pakistan, housing army facilities and associated residential and administrative infrastructure.
-
E.
Mhow
Mhow is a cantonment town in the Indore district of Madhya Pradesh, India, historically significant as a British-era military base and now known as Dr. Ambedkar Nagar.
- F. None of above. chosen
Provenance (5 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_69b48846af9881909d71d63b8bd8d141 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b4898cae348190871b63b8aabef963 |
completed | March 13, 2026, 10:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4af2032188190b29939d5dc19ccd1 |
completed | March 14, 2026, 12:43 a.m. |
Created at: March 8, 2026, 3:25 p.m.