Triple
T11459306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Oro Province |
E271610
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Arenillas
Arenillas is a town and canton in southwestern Ecuador known for its agricultural activity and proximity to the Peruvian border.
|
E926809
|
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: Arenillas | Statement: [El Oro Province, hasMajorCity, Arenillas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arenillas Context triple: [El Oro Province, hasMajorCity, Arenillas]
-
A.
La Arenosa
La Arenosa is a popular nickname for the Colombian city of Barranquilla, known for its vibrant culture and coastal Caribbean character.
-
B.
Fúquene
Fúquene is a small Colombian town in the department of Cundinamarca, known for its proximity to Lake Fúquene and its agricultural and livestock-based economy.
-
C.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
-
D.
Requena
Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
-
E.
Paillamachu
Paillamachu was a prominent Mapuche military leader (toqui) known for organizing resistance against Spanish conquest in what is now Chile.
- 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: Arenillas Triple: [El Oro Province, hasMajorCity, Arenillas]
Generated description
Arenillas is a town and canton in southwestern Ecuador known for its agricultural activity and proximity to the Peruvian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arenillas Target entity description: Arenillas is a town and canton in southwestern Ecuador known for its agricultural activity and proximity to the Peruvian border.
-
A.
La Arenosa
La Arenosa is a popular nickname for the Colombian city of Barranquilla, known for its vibrant culture and coastal Caribbean character.
-
B.
Fúquene
Fúquene is a small Colombian town in the department of Cundinamarca, known for its proximity to Lake Fúquene and its agricultural and livestock-based economy.
-
C.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
-
D.
Requena
Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
-
E.
Paillamachu
Paillamachu was a prominent Mapuche military leader (toqui) known for organizing resistance against Spanish conquest in what is now Chile.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e911c03c819081f1447b320dd2f2 |
completed | April 20, 2026, 8:51 a.m. |
| NEDg | Description generation | batch_69e5eeb38d588190b51b6c299bb717dd |
completed | April 20, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f19dd3348190b037e09c87b528e9 |
completed | April 20, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:35 p.m.