Triple
T13075829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghazipur district |
E329569
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Muhammadabad
Muhammadabad is a town located in the Ghazipur district of the Indian state of Uttar Pradesh.
|
E1032970
|
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: Muhammadabad | Statement: [Ghazipur district, hasSettlement, Muhammadabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muhammadabad Context triple: [Ghazipur district, hasSettlement, Muhammadabad]
-
A.
Shahabad
Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
-
B.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
C.
Nasirabad
Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
-
D.
Murtazabad
Murtazabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous landscape and proximity to the Hunza River.
-
E.
Mahmudabad
Mahmudabad is a coastal city in northern Iran, situated along the Caspian Sea in Mazandaran Province and known for its beaches and tourism.
- 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: Muhammadabad Triple: [Ghazipur district, hasSettlement, Muhammadabad]
Generated description
Muhammadabad is a town located in the Ghazipur district of the Indian state of Uttar Pradesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Muhammadabad Target entity description: Muhammadabad is a town located in the Ghazipur district of the Indian state of Uttar Pradesh.
-
A.
Shahabad
Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
-
B.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
C.
Nasirabad
Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
-
D.
Murtazabad
Murtazabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous landscape and proximity to the Hunza River.
-
E.
Mahmudabad
Mahmudabad is a coastal city in northern Iran, situated along the Caspian Sea in Mazandaran Province and known for its beaches and tourism.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98117209081908272021013df2222 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716baf00881909a1a11d36cdb8d42 |
completed | May 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69f717b7b6dc8190ab323c1926dd9adb |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7186b6218819096c67e9dd9af609f |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 9, 2026, 9:01 p.m.