Triple
T13075873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barabanki district |
E329570
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Tikait Nagar
Tikait Nagar is a small town located in the Barabanki district of the Indian state of Uttar Pradesh.
|
E1041827
|
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: Tikait Nagar | Statement: [Barabanki district, hasTown, Tikait Nagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tikait Nagar Context triple: [Barabanki district, hasTown, Tikait Nagar]
-
A.
Umarkhed
Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
-
B.
Tekanpur
Tekanpur is a town in Madhya Pradesh, India, best known for hosting the Border Security Force’s main training academy.
-
C.
Jogindernagar
Jogindernagar is a town in the Indian state of Himachal Pradesh, known for its scenic Himalayan setting and historic hydroelectric power projects.
-
D.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
E.
Bithoor
Bithoor is a historic town in Uttar Pradesh, India, known for its religious significance on the banks of the Ganges and its prominent role in the Indian Rebellion of 1857.
- 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: Tikait Nagar Triple: [Barabanki district, hasTown, Tikait Nagar]
Generated description
Tikait Nagar is a small town located in the Barabanki district of the Indian state of Uttar Pradesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tikait Nagar Target entity description: Tikait Nagar is a small town located in the Barabanki district of the Indian state of Uttar Pradesh.
-
A.
Umarkhed
Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
-
B.
Tekanpur
Tekanpur is a town in Madhya Pradesh, India, best known for hosting the Border Security Force’s main training academy.
-
C.
Jogindernagar
Jogindernagar is a town in the Indian state of Himachal Pradesh, known for its scenic Himalayan setting and historic hydroelectric power projects.
-
D.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
E.
Bithoor
Bithoor is a historic town in Uttar Pradesh, India, known for its religious significance on the banks of the Ganges and its prominent role in the Indian Rebellion of 1857.
- 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_69f7460c05bc819089cdd004bb07c492 |
completed | May 3, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_69f749ffd5d4819096cee1b27838d7d3 |
completed | May 3, 2026, 1:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74a58aa948190978568028cc5a445 |
completed | May 3, 2026, 1:15 p.m. |
Created at: April 9, 2026, 9:01 p.m.