Triple
T14787846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaunpur district |
E347573
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Machhlishahr
Machhlishahr is a town and administrative subdivision in the Jaunpur district of Uttar Pradesh, India, known for its local markets and regional connectivity.
|
E1123054
|
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: Machhlishahr | Statement: [Jaunpur district, contains, Machhlishahr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machhlishahr Context triple: [Jaunpur district, contains, Machhlishahr]
-
A.
Sadulshahar
Sadulshahar is a town in the northern Indian state of Rajasthan, situated within the Ganganagar district near the border with Punjab.
-
B.
Sanghar
Sanghar is a town and district headquarters in the Sindh province of Pakistan, known for its agricultural economy and proximity to the Thar Desert region.
-
C.
Karipur
Karipur is a village in the Malappuram district of Kerala, India, best known for hosting Calicut International Airport, a major air gateway for the region.
-
D.
Shahabad
Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
-
E.
Kadipur
Kadipur is a town in the Sultanpur district of Uttar Pradesh, India, functioning as a local administrative and commercial center for the surrounding rural area.
- 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: Machhlishahr Triple: [Jaunpur district, contains, Machhlishahr]
Generated description
Machhlishahr is a town and administrative subdivision in the Jaunpur district of Uttar Pradesh, India, known for its local markets and regional connectivity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Machhlishahr Target entity description: Machhlishahr is a town and administrative subdivision in the Jaunpur district of Uttar Pradesh, India, known for its local markets and regional connectivity.
-
A.
Sadulshahar
Sadulshahar is a town in the northern Indian state of Rajasthan, situated within the Ganganagar district near the border with Punjab.
-
B.
Sanghar
Sanghar is a town and district headquarters in the Sindh province of Pakistan, known for its agricultural economy and proximity to the Thar Desert region.
-
C.
Karipur
Karipur is a village in the Malappuram district of Kerala, India, best known for hosting Calicut International Airport, a major air gateway for the region.
-
D.
Shahabad
Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
-
E.
Kadipur
Kadipur is a town in the Sultanpur district of Uttar Pradesh, India, functioning as a local administrative and commercial center for the surrounding rural area.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa083e481908336d58d026eec32 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64f349fc8190b049542fef963b58 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe65bac9b0819087c9f7e8eed3805d |
completed | May 8, 2026, 10:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe665335d0819093a86af1673b1347 |
completed | May 8, 2026, 10:40 p.m. |
Created at: April 10, 2026, 1:31 a.m.