Triple
T17056506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Sadpara |
E413834
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sadpara
Sadpara is a surname most prominently associated with Pakistani high-altitude mountaineer Ali Sadpara.
|
E1247859
|
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: Sadpara | Statement: [Ali Sadpara, familyName, Sadpara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadpara Context triple: [Ali Sadpara, familyName, Sadpara]
-
A.
Paraiya
Paraiya is a village and administrative block in Bihar, India, known as one of the community development blocks within Gaya district.
-
B.
Agarpara
Agarpara is a suburban locality in the northern part of Kolkata, West Bengal, known primarily as a residential and industrial area within the Kolkata metropolitan region.
-
C.
Padampur
Padampur is a town in the Ganganagar district of Rajasthan, India, known for its agricultural economy supported by canal irrigation in the arid northwestern region of the state.
-
D.
Parsabad
Parsabad is a significant urban and agricultural center in Iran’s Ardabil Province, near the border with Azerbaijan.
-
E.
Banshiwala
Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
- 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: Sadpara Triple: [Ali Sadpara, familyName, Sadpara]
Generated description
Sadpara is a surname most prominently associated with Pakistani high-altitude mountaineer Ali Sadpara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sadpara Target entity description: Sadpara is a surname most prominently associated with Pakistani high-altitude mountaineer Ali Sadpara.
-
A.
Paraiya
Paraiya is a village and administrative block in Bihar, India, known as one of the community development blocks within Gaya district.
-
B.
Agarpara
Agarpara is a suburban locality in the northern part of Kolkata, West Bengal, known primarily as a residential and industrial area within the Kolkata metropolitan region.
-
C.
Padampur
Padampur is a town in the Ganganagar district of Rajasthan, India, known for its agricultural economy supported by canal irrigation in the arid northwestern region of the state.
-
D.
Parsabad
Parsabad is a significant urban and agricultural center in Iran’s Ardabil Province, near the border with Azerbaijan.
-
E.
Banshiwala
Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7a96288190bd985f79c3f55623 |
completed | April 18, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012346bcfc819093cd922baa94e186 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a0125420bd08190b969849a206a67d1 |
completed | May 11, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0125c7c4f48190b570dabd341b1ef1 |
completed | May 11, 2026, 12:41 a.m. |
Created at: April 10, 2026, 5:34 a.m.