Triple
T6364466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper East Region |
E143190
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Paga
Paga is a town in Ghana’s Upper East Region, known primarily for its sacred crocodile ponds that attract many visitors.
|
E588474
|
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: Paga | Statement: [Upper East Region, hasSettlement, Paga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paga Context triple: [Upper East Region, hasSettlement, Paga]
-
A.
Mesta
Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
-
B.
Parla
Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
-
C.
Risca
Risca is a town in south Wales situated in the county borough of Caerphilly, near Newport, with a history rooted in coal mining and industry.
-
D.
Belén
Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
-
E.
Pulsano
Pulsano is a coastal town and comune in the Apulia region of southern Italy, known for its beaches along the Ionian Sea and its historic center.
- 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: Paga Triple: [Upper East Region, hasSettlement, Paga]
Generated description
Paga is a town in Ghana’s Upper East Region, known primarily for its sacred crocodile ponds that attract many visitors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paga Target entity description: Paga is a town in Ghana’s Upper East Region, known primarily for its sacred crocodile ponds that attract many visitors.
-
A.
Mesta
Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
-
B.
Parla
Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
-
C.
Risca
Risca is a town in south Wales situated in the county borough of Caerphilly, near Newport, with a history rooted in coal mining and industry.
-
D.
Belén
Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
-
E.
Pulsano
Pulsano is a coastal town and comune in the Apulia region of southern Italy, known for its beaches along the Ionian Sea and its historic center.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680ed0148190b6e310b15b3449ff |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d7a1cbc8190a27a0a8e8b466ad5 |
completed | March 27, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_69c62ebcd35481909acd54a5b41f99aa |
completed | March 27, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62f5024148190915c9495a9e204b1 |
completed | March 27, 2026, 7:18 a.m. |
Created at: March 22, 2026, 4:32 p.m.