Triple
T10491510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puyo |
E247429
|
entity |
| Predicate | roadConnectedTo |
P11435
|
FINISHED |
| Object |
Baños
Baños is a popular tourist town in central Ecuador known for its hot springs, waterfalls, and adventure sports.
|
E867541
|
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: Baños | Statement: [Puyo, roadConnectedTo, Baños]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baños Context triple: [Puyo, roadConnectedTo, Baños]
-
A.
San Juan de Baños
San Juan de Baños is one of the oldest surviving churches in Spain, a 7th-century Visigothic basilica renowned for its early medieval architecture and historical significance.
-
B.
Banyo
Banyo is a town and commune in the Adamawa Region of Cameroon known as a local administrative and trading center.
-
C.
Los Baños
Los Baños is a municipality in the Philippines known as a major center for agricultural research and education, particularly in rice science.
-
D.
Belén
Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
-
E.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
- 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: Baños Triple: [Puyo, roadConnectedTo, Baños]
Generated description
Baños is a popular tourist town in central Ecuador known for its hot springs, waterfalls, and adventure sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baños Target entity description: Baños is a popular tourist town in central Ecuador known for its hot springs, waterfalls, and adventure sports.
-
A.
San Juan de Baños
San Juan de Baños is one of the oldest surviving churches in Spain, a 7th-century Visigothic basilica renowned for its early medieval architecture and historical significance.
-
B.
Banyo
Banyo is a town and commune in the Adamawa Region of Cameroon known as a local administrative and trading center.
-
C.
Los Baños
Los Baños is a municipality in the Philippines known as a major center for agricultural research and education, particularly in rice science.
-
D.
Belén
Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
-
E.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097e1c888190bc8e039f2e46181e |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dca37b0881908ced885d9853bc1b |
completed | April 10, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69d8e8c81bdc8190b6b6dfe00025b514 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:24 p.m.