Triple
T2274110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guayas Province |
E50728
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
General Villamil Playas
General Villamil Playas is a coastal Ecuadorian town and popular beach resort city located on the Pacific coast in Guayas Province.
|
E250941
|
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: General Villamil Playas | Statement: [Guayas Province, contains, General Villamil Playas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Villamil Playas Context triple: [Guayas Province, contains, General Villamil Playas]
-
A.
de Velasco
De Velasco is a Spanish surname historically associated with notable figures such as naval officer Luis Vicente de Velasco e Isla.
-
B.
Herrero
Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
-
C.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
-
D.
Herrera
Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
-
E.
Magaña
Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
- 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: General Villamil Playas Triple: [Guayas Province, contains, General Villamil Playas]
Generated description
General Villamil Playas is a coastal Ecuadorian town and popular beach resort city located on the Pacific coast in Guayas Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: General Villamil Playas Target entity description: General Villamil Playas is a coastal Ecuadorian town and popular beach resort city located on the Pacific coast in Guayas Province.
-
A.
de Velasco
De Velasco is a Spanish surname historically associated with notable figures such as naval officer Luis Vicente de Velasco e Isla.
-
B.
Herrero
Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
-
C.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
-
D.
Herrera
Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
-
E.
Magaña
Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ea6cc88190982527774223127f |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71ddc66c81909525394a8b2bb4e0 |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae75ba1a988190ba59d3ce5e5c39a8 |
completed | March 9, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76246f6c81909a15262d2c4ea975 |
completed | March 9, 2026, 7:26 a.m. |
Created at: March 4, 2026, 7:48 p.m.