Triple
T13591711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayodhya district |
E324706
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Milkipur
Milkipur is a town and administrative block in the Ayodhya district of Uttar Pradesh, India.
|
E1052802
|
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: Milkipur | Statement: [Ayodhya district, contains, Milkipur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milkipur Context triple: [Ayodhya district, contains, Milkipur]
-
A.
Mahidpur
Mahidpur is a historic town in the Indian state of Madhya Pradesh, known for its location in the Malwa region and its role in the Anglo-Maratha conflicts.
-
B.
Shibpur
Shibpur is a prominent residential and institutional neighborhood in Howrah, West Bengal, known for landmarks like the Indian Institute of Engineering Science and Technology and the Acharya Jagadish Chandra Bose Indian Botanic Garden.
-
C.
Karimpur
Karimpur is a town in the Indian state of West Bengal, known as a local center of trade and education in the Nadia region.
-
D.
Jagatballavpur
Jagatballavpur is a town and administrative block in the Howrah district of West Bengal, India, known for its semi-urban character and proximity to the Kolkata metropolitan region.
-
E.
Kamalpur
Kamalpur is a town in the northeastern Indian state of Tripura, known as a local administrative and commercial center in the region.
- 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: Milkipur Triple: [Ayodhya district, contains, Milkipur]
Generated description
Milkipur is a town and administrative block in the Ayodhya district of Uttar Pradesh, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milkipur Target entity description: Milkipur is a town and administrative block in the Ayodhya district of Uttar Pradesh, India.
-
A.
Mahidpur
Mahidpur is a historic town in the Indian state of Madhya Pradesh, known for its location in the Malwa region and its role in the Anglo-Maratha conflicts.
-
B.
Shibpur
Shibpur is a prominent residential and institutional neighborhood in Howrah, West Bengal, known for landmarks like the Indian Institute of Engineering Science and Technology and the Acharya Jagadish Chandra Bose Indian Botanic Garden.
-
C.
Karimpur
Karimpur is a town in the Indian state of West Bengal, known as a local center of trade and education in the Nadia region.
-
D.
Jagatballavpur
Jagatballavpur is a town and administrative block in the Howrah district of West Bengal, India, known for its semi-urban character and proximity to the Kolkata metropolitan region.
-
E.
Kamalpur
Kamalpur is a town in the northeastern Indian state of Tripura, known as a local administrative and commercial center in the region.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae1d1b08190ad07b159ac3eba4b |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78c0030e481909c20f21ddaa480dc |
completed | May 3, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d6d74bc8190ad5476a06e8fd8ad |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:49 p.m.