Triple
T13071037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banda district |
E329455
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Atarra
Atarra is a town in the Banda district of Uttar Pradesh, India, known as a local center for trade, education, and administration in the region.
|
E1020447
|
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: Atarra | Statement: [Banda district, hasSettlement, Atarra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atarra Context triple: [Banda district, hasSettlement, Atarra]
-
A.
Attah
Attah is the surname of Ghanaian actor Abraham Attah, known for his acclaimed debut role in the film "Beasts of No Nation."
-
B.
Attari
Attari is a village in the Amritsar district of Punjab, India, best known as a key border crossing point with Pakistan and the site of the popular daily flag-lowering ceremony at the nearby Attari–Wagah border.
-
C.
Atara
Atara is a Palestinian village in the central West Bank, known for its hilltop location and traditional rural character.
-
D.
Agta
The Agta are an indigenous Negrito people of the Philippines known for their traditionally nomadic, forest-based lifestyle and rich oral traditions.
-
E.
Atessa
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
- 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: Atarra Triple: [Banda district, hasSettlement, Atarra]
Generated description
Atarra is a town in the Banda district of Uttar Pradesh, India, known as a local center for trade, education, and administration in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atarra Target entity description: Atarra is a town in the Banda district of Uttar Pradesh, India, known as a local center for trade, education, and administration in the region.
-
A.
Attah
Attah is the surname of Ghanaian actor Abraham Attah, known for his acclaimed debut role in the film "Beasts of No Nation."
-
B.
Attari
Attari is a village in the Amritsar district of Punjab, India, best known as a key border crossing point with Pakistan and the site of the popular daily flag-lowering ceremony at the nearby Attari–Wagah border.
-
C.
Atara
Atara is a Palestinian village in the central West Bank, known for its hilltop location and traditional rural character.
-
D.
Agta
The Agta are an indigenous Negrito people of the Philippines known for their traditionally nomadic, forest-based lifestyle and rich oral traditions.
-
E.
Atessa
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
- 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_69d980ee6130819095d835e7ff6a8c5b |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60510dc81909e0cba8b63a50d9c |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6dbb4b8848190825102be81ff693a |
completed | May 3, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6dc705f28819087e5d374f83d3acc |
completed | May 3, 2026, 5:26 a.m. |
Created at: April 9, 2026, 9 p.m.